September 10, 2024 • 43 mins
The role of AI in the classroom is evolving rapidly. When students and teachers embrace this technology, it has the ability to democratize access to education through programs like IBM SkillsBuild. In this episode of Smart Talks with IBM, Dr. Laurie Santos, host of Pushkin’s The Happiness Lab podcast, spoke with two innovators in the space. Justina Nixon-Saintil is Vice President and Chief Impact Officer, IBM Corporate Social Responsibility, and April Dawson is an Associate Dean of Technology and Innovation and a professor of law. They discuss the importance of lifelong learning, upskilling, and the ethical implications of AI in education.
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Episode Transcript
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Speaker 1 (00:04):
Welcome to Tech Stuff, a production from iHeartRadio. Today, we
are witnessed to one of those rare moments in history,
the rise of an innovative technology with the potential to
radically transform business and society forever. That technology, of course,
(00:25):
is artificial intelligence, and it's the central focus for this
new season of Smart Talks with IBM. Join hosts from
your favorite Pushkin podcasts as they talk with industry experts
and leaders to explore how businesses can integrate AI into
their workflows and help drive real change in this new
era of AI, and of course, host Malcolm Gladwell will
(00:47):
be there to guide you through the season and throw
in his two cents as well. Look out for new
episodes of Smart Talks with IBM every other week on
the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts,
and learn more at IBM dot com slash smart Talks.
Speaker 2 (01:07):
Hello, Hello, Welcome to Smart Talks with IBM, a podcast
from Pushkin Industries, iHeartRadio and IBM. I'm Malcolm Glawell. This season,
we're diving back into the world of artificial intelligence, but
with a focus on the powerful concept of open its possibilities, implications,
and misconceptions. We'll look at openness from a variety of
(01:29):
angles and explore how the concept is already reshaping industries,
ways of doing business, and our very notion of what's possible.
On today's episode, doctor Lori Santos sat down with two
women at the forefront of AI in education. Justina Nixon
Santil is vice president and Chief Impact Officer of IBM
(01:51):
Corporate Social Responsibility, and April Dawson is an Associate Dean
of Technology and Innovation and Professor of Law at North
Carolina Central University School of Law. Together, they explore the
transformative impact of AI on education and the workforce. As
technology rapidly evolves, industries are being reshaped and the demand
(02:15):
for new skills is at an all time high. This
is opening up opportunities for diverse talent, enabling individuals from
various backgrounds to excel in roles they might not have
previously considered. They also address the ethical considerations of AI,
emphasizing the importance of maintaining a human centered approach. Whether
(02:37):
you're a teacher or a student, or someone interested in the
future of work, it's essential to embrace the role of
AI in the education landscape. AI is not only changing
the way we work, but also how we learn, making
education more accessible, personalized, and aligned with the demands of
the modern job market.
Speaker 3 (03:02):
Justina and Epel, so great to me both of you.
I'm so excited for this conversation.
Speaker 4 (03:06):
Thank you for having.
Speaker 5 (03:07):
Me, and thank you for having me.
Speaker 3 (03:10):
Justina, to start, could you share some insights on your
journey to becoming IBM's Chief Impact Officer and how your
background in engineering shapes your approach to corporate social responsibility.
Speaker 4 (03:20):
So I've had an interest in journey. I'm an immigrant.
I was one of the only black women who graduated
from my school's mechanical engineering program many many years ago.
I started my engineering career at a nuclear facility that's
around forty five miles outside of Buffalo, New York, and
eventually worked for one of the largest telecommunications companies in
(03:40):
the world in engineering, marketing, and eventually in corporate social responsibility.
I was hired to lead the organization away from traditional
philanthropy to creating platforms and solutions that leveraged four G
and five G technologies to positively impact disadvantaged communities, and
that is what has led me to the work that
(04:01):
I do at IBM today, I have the honor of
being the company's first Chief Impact Officer, and is such
a privilege and a responsibility to be at IBM, which
has such a huge history in sustainability, in social and
in the ethical space as well. When I consider how
my background in engineering ties into the work that I do,
(04:24):
I actually think engineers are very skilled at analyzing data
and at innovative problem solving. The other thing where there's
a lot of alignment with my engineering background is really
around how do I think about using technology to solve
some of the biggest issues that we have in society?
(04:44):
And I get very excited about innovating and creating and
leveraging technologies like AI and hybrid cloud to really bring
those into the work that we do and to solve
some of those big challenges that we have in society
today around sustainability and EDGUC.
Speaker 3 (05:00):
That's fabulous, April. Tell me about your path to becoming
Associate Dean of Technology and Innovation as well as a
professor in law.
Speaker 5 (05:07):
So I am a child of an educator, actually educators.
Both my parents are educators. I went to high school
where my mom taught, and it was in the eighties
and it was during that time period when teachers were
given Apple computers, so they were brand new. My mom
brought one home. I started playing with it. Then I
(05:27):
just kind of fell in love with the technology. I
received my undergraduate degree in computer science because of that
early exposure. I went to Bennett College here in Greensboro,
North Carolina. It's an HBCU, a historically black college and university.
I was a programmer after graduating from Bennett, and I've
always loved technology, but I also had a love for
(05:51):
the law. So after being a programmer for a couple
of years, I decided to go to law school. And
even as a lawyer, I leveraged technology in my private practice.
When I decided to begin teaching almost twenty years ago,
I would ask myself, how could I leverage a technology
to enhance my teaching to help the students better understand
(06:13):
the material. And so when our dean at the time,
Brownie Lewis, when she was able to facilitate a five
million dollar grant to North Carolina Central University School of Law,
we created the Technology Law and Policy Center, and she
asked me if I would be interested in serving as
the inaugural Associate dean of technology and innovation. So suffice
(06:37):
it to say, I'm in my dream job. I'm able
to combine my love of technology, my love of law,
my love of education, and so it's really an exciting
time to be in a position like I have.
Speaker 1 (06:50):
I love that.
Speaker 3 (06:51):
April, what inspired you to integrate AI and technology into
your law curriculum?
Speaker 5 (06:55):
It's interesting. As I mentioned before, I've always used it
it personally as an educator, but the thought of teaching
a class that really kind of focused on technology and
the legal implications of that really occurred because Ray Thomas,
who was an IP lawyer and worked at IBM at
(07:16):
the time in twenty twenty so around the pandemic, he
encouraged us to take advantage of the IBM Skills Build
training program, the Train the Trainer program. So really not
until that time period did I even really even think
about teaching a tech focused legal class. And during that
time period, a couple of my other colleagues and I
(07:38):
we did the Train the Trainer Blockchain course. I did
the Data Science course, and then that next summer we
team taught the Blockchain for Lawyer's class, which we designed,
and then I taught a Data Science for Lawyers class,
and so that was, you know, really kind of the
first iteration of us really being intentional about teaching techechnology
(08:00):
and law. And then one of my other colleagues, doctor
Savon Da Grady, she is a professor at the School
of Library and Information Sciences here at NCCU. She reached
out to me and said, would you be interesting in
teaching a joint AI and the law class that would
include her Masters of Information Science students and my law students.
(08:21):
So it's a wonderful interdisciplinary class where you have master's
students and law students and we talk about the foundations
of AI, we talk about the legal implications of policy implications,
and so really, you know, this kind of all started
because of the resources that IBM have made available to NCCU.
Speaker 3 (08:43):
That's so cool, and that class sounds amazing. I wish
I could like drop out of being a professor and
then this class. This sounds awesome. And so as a
question for both of you, in this age of AI
and open technology, does the role of education change? Are
we kind of at a different spot with what education
should be doing now?
Speaker 4 (08:59):
When I look at at the role of education today
from the corporate point of view, I think it does change.
I was having a discussion earlier today with some members
of my team, and we were discussing early professional hires,
so people would want to hire right out of college,
and one of the first things that I shared was
(09:21):
some of the tasks that they would have done previously
will be automated. We will be using AI for those
basic tasks that in the past would have hired an
intern or a recent college graduate to do. And it's
so critical now that we look at higher level types
(09:42):
of tasks that we will need college graduates to do.
And I can foresee in the future hiring someone from
college who does not have at least a basic understanding
of AI. There will be some roles where they will
have to have an advanced understanding, especially if they're in
an engineering role or computer science role, but across the
(10:03):
board they will need to understand AI. So when I
think about the way that education is changing, whether you're
a college student, whether you are an adult professional, you
will need to be a lifelong learner and you will
need to understand how to continuously upskill and reskill yourself
to be able to understand technologies like AI. Because of
(10:25):
the rapid acceleration of these types of technologies, and I
think that's very important. I think everyone has to be prepared,
if they're not doing it today, to upskill and reskill themselves.
And I can't foresee any roles in the future where
candidates will not need to have a very basic understanding
of AI or even advanced understanding of AI.
Speaker 3 (10:48):
That's great, April. Let me ask you a slightly different
version of the question, what is the significance of AI
for students and young professionals today?
Speaker 5 (10:55):
When we think about the disruption that JENAI especially has
caused within legal profession students have to be more adept
when it comes to feeling comfortable, being uncomfortable, and learning
something new. The other thing that I would just kind
of emphasize from an educational standpoint is this also means
that educators have to approach teaching differently. You know, I've
(11:19):
been teaching for going on twenty years and things are
kind of being turned on their heads somewhat right, and
I have had to upskill and reskill. We can't teach
that what we don't know, We can't monitor that what
we don't know. Just as the students have to understand
generative AI, the educators have to understand it as well.
Speaker 3 (11:42):
Yeah, this is something I've felt in the classroom myself
as a psychology professor, right, is that I'm realizing how
much I need to kind of go back to school
and learn about all these AI tools, not just so
that I can teach it, but just so I can
understand how my students are using these things, right, but
also to figure out how I can enhance the educa
cocational experience of my own students in psychology right by
(12:02):
giving them access to these tools. And so, yeah, I'm
curious in your experience, how does AI actually enhance the
educational experience for your law students. And I'm curious if
you could give an example of the type of thing
you do in your classroom.
Speaker 4 (12:15):
Yeah.
Speaker 5 (12:15):
So one of the things that I tell my students
is you got to get your hands dirty. You can't
understand these tools if you don't kind of dig in
and just see how they work. So one, giving them
permission and encouraging them to do it in terms of
how they might be able to use these tools to
help them learn better. I encourage them to as they're
(12:38):
wrestling maybe with concepts that are confusing, they haven't completely
wrapped their heads around it. And when we think about
large language models, these tools are really helpful in that sense. Right,
if there's a passage in the book and you're not
quite following it, or there's a case right and you
need some assistance in breaking it down, running that information
(13:00):
through a large language model and then asking questions about
it can be really beneficial. Also in the law score
the legal contexts, large language models are really helpful for
that as well. But one thing I do caution my
students is that any understanding that you think you have
gained through the use of these tools, you need to
circle back to your professor and make sure that your
(13:21):
understanding is correct.
Speaker 3 (13:23):
I love that and I've seen the importance of that
in my own classroom too. You mentioned so many of
the things that these tools are great at, but I
think another thing that AI in the classroom can help
us with is democratizing the classroom. And so, Justina, I'm curious,
in what ways do you think integrating AI into education
is help us going to bridge these gaps and actually
democratize access to education even more.
Speaker 4 (13:44):
Yeah, I think it's going to really make a difference
in providing access to education in many different ways. I
want to give you an example through alla IBM Skills
Bill program, we're infusing AI technology into the platform to
create a more personally enhance experience for our learners in
every language. So we are creating personalized learning pathways, we
(14:08):
are tailoring the access to our learners to meet their
individual needs, and we're also using AI to answer questions
in a more timely and accurate manner. If you really
think about it, you will need a significant staff to
be able to respond quickly to questions to make sure
the questions are accurate. With AI, we can answer questions immediately,
(14:31):
we can answer them in a more sophisticated way than
we did in the past, and we can also offer
cost recommendations and learning pathways that meet their needs. We
have courses such as AI Ethics and prompt Writing and
getting started with Machine Learning all the way to actually
use in coding to help create these large language models.
(14:53):
So when you think about the average learner that we
are working with, they may want just an introductory course
on AI ethics or understanding how to use AI in
their day to day work, or they actually may want
to understand how do you really leverage or code for
a large language model, and I think it's important to
give them all the different options and create those personalized
(15:16):
learning pathways for them. The other thing around really democratizing
opportunities to provide free access to this kind of learning,
and we do that again through our Skills Bill program.
If you have courses that you can only pay to access,
then you're really not giving the opportunity for everyone to
(15:37):
advance and to learn. So by leveraging AI on our
platform but also providing that free access, we're really helping
to bridge the gap for learners and make sure they
can upskill and reskill themselves and help them also increase
social and economic mobility.
Speaker 3 (15:54):
It sounds like an amazing program, Justina. Can you describe
the vision behind IBM Skills Build and how how it's
built to reach so many learners around the world.
Speaker 4 (16:02):
Yeah. So, IBM has always been committed to investing in
the future of work and we've offered educational experiences for many,
many years. And IBM Skills Built is a program. Again,
it's free, it's open, anyone can access it. But it's
really around getting access to the right technical skills and
(16:24):
workplace learning skills so that you could be prepared for
a career in technology, but in any industry and any field.
We know now that understanding technology, understanding AI or cybersecurity
or any of those tech topics are needed whether you're
working in a tech company, or whether you're working in
(16:45):
retail or in legal or any of these different industries.
So we want to make sure we could provide that
access to learners. In twenty twenty one, we launch a
global commitment to skill thirty million people by twenty thirty
and we are making significant progress against that goal. Just
last year we reported that we skilled eleven point five
million learners around the world, and these are learners that
(17:08):
enrolled in IBM courses, including access in our platform, IBM
Skills Build, and it's really the cornerstone of our education
work at IBM. We're really focus on scaling our work
through partnerships. So we partner with historically black colleges and universities,
and that's how, of course, we got the chance to
(17:29):
meet April. We partner with nonprofit organizations across the globe.
We also partner with governments to make sure we provide
that free access to the communities that are aligned with
their national agenda around skilling, and those communities that are
most in need. It's really important that we scale the
program through those premier partnerships, so that's extremely important to us.
Speaker 2 (17:54):
The vision behind IBM Skills Build is truly inspiring. In
a world where technology is changing every industry, having access
to these crucial skills is more important than ever. This
initiative is breaking down barriers and ensuring that people from
all walks of life can participate in the future of work.
(18:14):
In order to effectively scale a platform, the strategic collaborations
with educational institutions, nonprofits and governments are key. It's clear
that IBM is deeply invested in creating long lasting change
in communities around the world. This approach will strengthen the
workforce globally, helping to bridge the digital divide and create
(18:37):
more equitable opportunities in the tech space.
Speaker 3 (18:41):
So now we're shifting gears to think a little bit
about the real world insights. Justina, what can you tell
us about the skills first movement? This seems to be
an open approach to attracting top talent. What are you
hearing from students and partners.
Speaker 4 (18:54):
Yeah, so IBM has been leading the skills first movement
full quite some time. And the things that we realized
and we actually tested this out, is that you don't
always need a four year degree to be successful at
a tech job. So when we looked at the job
postings that we had, we decided to make a commitment
(19:15):
to have at least fifty percent of our job postings
not requiring a four year degree. And when we started
hiring people without a four year degree in certain roles,
we realized that they were as successful as those with
a four year degree. Now, this doesn't work across the board,
but this is really a way to get access to
(19:37):
what I consider to be untapped talent that are skilled
in different ways. Maybe they've had some experiences already, maybe
they have a different set of badges and certificates or
other credentials that can support them getting access to some
of the roles that are offered by companies. So this
is really a way to help address the opportunity gap
(19:59):
and provide a pathway for diverse talent.
Speaker 3 (20:03):
What impact do you think AI has had on global
learning standards broadly so far?
Speaker 5 (20:09):
I think from the perspective of a law student, realizing
that this little universe in which we kind of thought
we might operate has expanded. When we think about AI
and we think about the implications of AI, it goes
far beyond our state national I mean, you have to
have an understanding of what's going on in other countries.
So even when we're thinking about the regulation of AI
(20:31):
and the governance of AI and policies surrounding AI, it
means you have to be open to learning about what's
happening in other countries where AI is disrupting those spaces
as well. So again, I think it really underscores for
our law students how you have to see yourself as
part of a larger team. Lawyers don't work in isolation,
(20:54):
and it's really good that law students are recognizing that
while they're still in school.
Speaker 3 (21:00):
So it really seems like these technologies are kind of
changing the learning experience and law by making kind of
broader and maybe more global. Justina, can you share an
example of how IBM Skills Build has made a significant
difference in other kinds of learning journeys?
Speaker 5 (21:14):
Yeah?
Speaker 4 (21:14):
Absolutely, I mean this is one of the most rewarding
parts of my job. What I get excited about is
when I travel and I meet with students who have
been a part of IBM Skills Build and they have
been able to use the learning, the certificates, the opportunities
that we've provided them around mentorship as well to be
able to move into a better paying job or a
(21:36):
new job that they did not have the opportunity previously.
We had one of our learners. His name was Oscar
and he arrived in California from Mexico when he was
around five years old and he worked and he attended
college full time. But during his last semester he was
introduced to the IBM Skills Build program through the Hispanic
(21:56):
Heritage Foundation, one of our partners, and through the career
assessment tool of the program, he identified areas where he
could excel and it allowed him to dig deeper into
learning paths that match his interests and his skills. So
he started taking cosses such as AI Fundamentals, he earned credentials,
and he was able to get a better role when
(22:19):
he graduated from college. So we have so many beneficiaries
of the program who have been able to access the training,
also access the mentorship that we provide through the program,
and able to get a better pain on new job
because of it.
Speaker 3 (22:35):
That's fabulous, April. I know your students have used IBM
skills Build. Can you give us an example of how
it's made an important impact on a student's journey.
Speaker 5 (22:42):
Yes, absolutely. So. I mentioned that we taught a Blockchain
for Lawyers class and one of the students had a
big interest in blockchain cryptocurrency. He actually also had a
master's in information science and so he was a dual
agree student. He was also in my AI and the
(23:03):
law class. So he not only got the blockchain certificate,
he got the AI Foundation certificate. He wound up being
the editor in chief of the Law journal, and he
is a legal tech lawyer. And so this kind of
goes back to what Justina was saying about making sure
that the talent that's there has access to the resources.
It really does make a big difference in so many
(23:25):
of our students' lives.
Speaker 3 (23:27):
That's such an inspiring story, Justina. I'm curious what impact
skills Build has had on the communities you work with,
maybe even beyond just students.
Speaker 4 (23:35):
Yeah, so it has had a tremendous impact in our communities.
I think one of the big things about digital skills
and upskill in and reskilling is not just in certain areas.
For example, I mentioned the story of Oscar who was
graduating from college got access to Skills Build. It helped
(23:56):
him get a better paying job. But we have programs
sustainability as well where we are working with farmers in
the middle of Texas and we are providing access to
Skills Built as well so that they can use the
technology and understand the technology that we are bringing to
them throughout Sustainability Accelerator program. And what's so interesting about
(24:18):
this is we need to upskill and reskill them as well.
So if you think about certain jobs where you just
need to better understand the data or the technology, our
partnerships with nonprofits to be able to bring it to
people in different fields, and sustainability is one that we
focus on as well that has been inspiring to me.
We also have programs where we focus on girls, especially
(24:41):
in India, and make sure we're giving them access to
this kind of training and mentorship again to make them
competitive in the marketplace, to make sure that they have
an opportunity at a good paying job and that they
could be independent. So our global partners work with us
on leveraging Skills Build, curating it in a way that
(25:03):
makes sense for their communities that they want to impact,
and we focus on women who have left the workforce
and they want to return. We focus on veterans, We
focus on black communities in the US or Hispanic communities.
So we really look at those really great global partnerships
and make sure we are bringing in people who would
(25:24):
have been otherwise left out of the tech field and
giving them the opportunity to reskill and upskill themselves and
helping them through our partnerships, connect to good paying jobs
as well.
Speaker 3 (25:34):
So so far we've been focused on students in their learning,
but now I want to turn to both of your learning.
I'm curious, what are some challenges that you've faced in
your careers and how have you overcome them?
Speaker 5 (25:46):
Yeah. Sure. So one of the things that I quickly
found out was that law school was not as I envisioned.
You kind of go in, you think it's one thing,
it's another. The curriculum can be very surprising. It's not
like the underground do it curriculum. And I just had
to kind of reach out and develop mentors. And I
(26:07):
was very lucky in that I had a number of
individuals who provided me with a tremendous amount of support.
And I think that's One of the reasons why I
love teaching so much is to be able to support
the students and just help them kind of build their
community and their network so they can excel, and then
(26:27):
they can reach back and help others excel as well.
Speaker 3 (26:31):
I love that. Justina, same question. What are some key
challenges that you've faced in your career and how have
you overcome them?
Speaker 4 (26:37):
Yeah, I'm smiling because what April mentioned is exactly the
experience I've had. I was one of the only black
women to graduate from my school's Meke chemical engineering program,
and when my children were very young, I also stepped
away from the workforce for several years to focus on them.
And I don't think I would be successful today without
(27:00):
the help of mentors. They're the ones that really help
me to be successful, to understand the corporate environment, to
connect me with other opportunities, and I think it's important
to me to make myself available to others, and that's
a really big part of what I do. I want
to make myself and my field more representative of the
(27:22):
work that we do, and I want to make sure
that I provide access to others and give others the
same types of opportunities I have and that's why I
do enjoy leading this type of work at IBM.
Speaker 3 (27:35):
Here here to both of you, giving back to the
students that we were back in the day. It's so important, Justina.
IBM has a goal of equipping thirty million learners with
technology skills by twenty thirty as part of the IBM
Skills Build programming. Why is this initiative important and how
is IBM planning to exactly achieve this?
Speaker 4 (27:54):
Yeah, we believe the talent gap is one of the
biggest challenges that we face in society today. So AI
of course is accelerating this movement and there's more of
a sense of urgency. However, we know that there is
a significant talent gap and that there are many people
that are disadvantage, who are not getting access to the
(28:14):
right opportunities, and that's why we made the commitment to
skill thirty million people by twenty thirty, and that's why
we're providing free access to programs like IBM Skills Build
with over a thousand courses in twenty languages, to make
them accessible to all and to give others the chance
to be successful. Last year, we also announced the commitment
(28:35):
to train two million people in AI over the next
three years, because again, we understand the importance of AI
and understanding it to be successful in any job, especially
an entry level job. So we're continuing to expand our
AI offerings because we know that it is exacerbating the
(28:57):
talent gap and we know that these skills will be
in demand significantly by corporations.
Speaker 3 (29:04):
So, April, Justina just mentioned, you know, all the changes
that we're seeing at AI. I'm curious what role you
think educators play in terms of making students aware of
all these technological and societal changes happening in their fields.
Speaker 5 (29:16):
Yeah, educators are so vital. And one of the things
that I've noticed is that students who have not engaged
with the tech have not done so either because an educator,
a teacher or professor has told them not to that,
you know, they just say, you know, no, you can't
use it, or they haven't said anything at all. They
haven't encouraged them to look into it to try it.
(29:40):
And we have to encourage students to become familiar with
these tools for all the reasons that Justina mentioned in
terms of what the workforce is demanding, but also if
we don't provide them with guidance, then there's the real
chance that they will use them inappropriately, So we have
to to provide them with permission to dive in. We
(30:04):
have to teach them how to use these tools ethically
with integrity, what are the best practices? And again that
kind of goes back to something I mentioned before, which
I speak about a lot, is that it requires educators
to themselves learn about these tools. And that's one of
the reasons why I was so appreciative of the trainer
(30:26):
program because again, we started offering courses at the law school,
because these courses were provided free of charge, of course
to our faculty, so we were able to upskill and
reskill and then turn around and share that with our students.
So educators are vital. But I also think that we
(30:46):
need to make sure we do a better job as
a society of supporting our educators so that they can
gain the knowledge and then pay that forward to the students.
Speaker 3 (30:58):
Right, because not everybody's provided the kinds of free resources
that IBM provides. We're teachers who really need it. April,
in what ways has IBM Skills Build changed your perspective
on the potential of AI and education.
Speaker 5 (31:11):
Well as far as the potential. It makes it so
much easier, right, I mean, it lightens the lift for educators.
If I had to design the AI Foundations class ground up,
there's no way I could have done that. And if
we're thinking about exposing students, regardless of their area of
(31:32):
study to AI or to technology, those that are experts
in those particular spaces, they're not going to be able
to build those courses. So having something like IBM Skills
Build available so that we can, you know, design a
course around those modules that are already put together, is
(31:53):
incredibly helpful. And so it means the potential of providing
AI education to all students just really increases the possibility,
which is good for all of us.
Speaker 3 (32:05):
Justina, as you think about your work at IBM, how
do you balance the need for technological innovation with the
importance of maintaining a human centered approach and education.
Speaker 4 (32:14):
I really like how April touched on ethics earlier, because
it is so important that we continue to make sure
the human is at the center of everything that we
do and that we are protecting people even as we
foster innovation with AI. And the way that IBM has
done that, we've had reasonable policies and guardrails in place
(32:37):
around everything that we do around AI. I'm actually a
part of our AI Ethics Board. We meet on a
regular basis to discuss cases, to discuss technology, and we
actually have discussions and make decisions on what is the
right thing to do, and we are always considering a
human centered approach. How do we make sure that we
(33:00):
are protecting people and how do we make sure that
we have their voice in every decision that we make.
We have three principles around trust and transparency, and the
first is the purpose of AI is to augment human intelligence,
not replace it. The second is that data and insights
belong to their creators, So with anyone that we work with,
(33:23):
we make sure that we protect their data insights and
it belongs to them, it doesn't belong to us. And
then any new technology, including any AI products, systems, platforms,
must be transparent and explainable. So I think that's important
to have those types of principles in place. I'm proud
to be a part of the AI Ethics Board making
(33:45):
decisions around how AI is deployed, and I think making
sure that we continue to keep humans people at the
center of every decision we make around innovation is how
we protect them.
Speaker 3 (33:58):
So we've talked so much about all the changes that
are happening right now. Justin know, I kind of want
you to put on your like, you know, future prediction cap.
What future developments do you anticipate in the realm of
open education.
Speaker 4 (34:10):
I think that And I've been in education a very
long time, and I remember us talking about personalized learning
maybe ten years fifteen years ago, and I'm not sure
it ever came to fruition in the way that we imagined.
And we know that the teacher will always be the guide.
They will always be the one that's needed. I don't
(34:31):
think any technology will ever replace teachers, but I think
what AI can do is enhanced that experience by really
creating personalized learning content and experiences in the education space.
I think that is one of the things that I
would say should be something we see in the very
near future around the acceleration of AI.
Speaker 3 (34:55):
April, You've done so much elegant work teaching your students
about AI and technology. I'm curious what advice you have
for other educators and technologists looking to advocate for a
skills first approach or more AI training for their students.
What advice would you have for them.
Speaker 5 (35:10):
The first piece of advice that I always give is
don't feel overwhelmed because you can. I mean, there's a
lot going on. It's hard to keep up with how
fast things are moving, even for those of us that
love this space. You don't have to do everything at once,
just you know, baby steps and that's absolutely fine.
Speaker 2 (35:28):
Thank you.
Speaker 3 (35:29):
As a professor, I have to say I needed to
hear that, so giving myself grace taking that one to heart.
Speaker 5 (35:33):
In fact, I have in my PowerPoint presentation the first
slide I put up is of a turtle and it
says slow your role. And it's like, I'm going to
be talking about a lot of things, but I want
you to remember this slide, just slow your role. It's okay.
The other thing that I encourage professors to do is
to join an educator community group. And there are a
(35:55):
lot that have popped up as a result of jin
Ai and the disruption we're seeing just in the education space,
and so how can we crowdsource our advice without a doubt?
If you're thinking about a particular assignment and how you
might use Jenai in crafting that assignment or incorporating it
in the assessment. There is a professor out there who
(36:18):
has either already done it or they're also thinking about it,
So you know, let's be more collaborative. And I will
say that's been really wonderful for me as a law professor,
being able to collaborate with professors from other disciplines. And
the last thing that I would say, you know, sometimes
(36:39):
it can be hard to convince your colleagues within your
institution to be progressive, and if you can bring an
outside speaker to come in and kind of just share
what's going on, that can oftentimes get people moving even
if you within the building aren't able to get that
same traction. So those serve kind of the three pieces
(37:01):
of advice that I'll typically give professors.
Speaker 3 (37:04):
So this has been a fabulous conversation that we are
reaching the end of our time. But before we wrap,
let's do a speed round. Ready, first question, April first,
complete this sentence. In five years, AI will blank.
Speaker 5 (37:20):
In five years, AI will be more fully leveraged to
help lawyers better serve their clients more efficiently and will
help close the access to justice gap.
Speaker 3 (37:36):
Nice justin the same question.
Speaker 4 (37:39):
In five years, AI will have disrupted every industry and
there would have been significant advancements made in education and
sustainability with the use of AI.
Speaker 3 (37:50):
Okay, speed round question number two. What is the number
one thing that people misunderstand about AI?
Speaker 4 (37:56):
Justinat you first, The number one mis understanding about AI
is that it's going to destroy everyone's jobs. I think
that people with AI skills or understanding of AI will
have some advantages in the workplace.
Speaker 5 (38:10):
April, the number one thing people misunderstand about AI is
that only computer scientists or mathematicians or engineers can understand it.
You can gain an understanding again through baby steps, and
there are so many resources available. If you explore the
(38:31):
information and bite sized pieces, you can begin to wrap
your head around it.
Speaker 3 (38:36):
Okay, next speed round question, what advice would you give
yourself ten years ago to better prepare you for today?
Justina you first.
Speaker 4 (38:44):
The advice I would give myself ten years ago is
to continue learning. I always love understanding technology. I always
dove deep into whether it's machine learning or four G
and five G technologies. Understanding AI and hybrid cloud today
is something that I also enjoy doing, so I would
say continue learning, continue diving into these technologies, Continue understanding
(39:10):
what it means for you and your future career, April.
Speaker 5 (39:14):
Be more interdisciplinary, so stay current with the evolution of
computer science, but also incorporate the study of data and
ethics and sociology because the challenges they're opposed by AI,
they're multifaceted, and you have to have an understanding in
(39:35):
these areas to really address the promise and the challenges
of AI.
Speaker 3 (39:40):
Final speed round question, how are you already using AI
in your day to day life today, April.
Speaker 5 (39:47):
So, I use it in my teaching. The other way
that I plan on using it in the future is
serving the students and then using the data analysis tool
to help me gather that information and figure out how
best to address the information that I've received from my students.
Speaker 3 (40:04):
Nice Justina, Yeah.
Speaker 4 (40:06):
So the way that we're using AI today is to
actually analyze complex and large data sets in our sustainability
work to provide insights to some of our partners on
how they can increase crop yield, for example, or how
they can deliver clean energy solutions to rural areas. So
(40:28):
we actively using it in the programs that we have
within our corporate Social responsibility portfolio and also integrating it
into our Skills Bill platform.
Speaker 3 (40:39):
Well, thank you both so much. You did excellent in
the speed round, but it was just so fabulous to
talk to you both today. I think this is a
time of so many exciting challenges in the field of education,
and it was fabulous to hear more about how AI
and IBM Skills Build and so many technologies can help
us out. Thank you both so much for this fun conversation.
Speaker 4 (40:57):
Thank you for having us. It was great.
Speaker 5 (40:59):
Yes, thank you, Thank you.
Speaker 2 (41:03):
What an insightful conversation with Justina and April. This discussion
demonstrated how technology and education can intersect to create a
meaningful impact in today's educational landscape. Students must utilize AI
in the classroom in order to prepare for the modern workforce,
and educators must use the technology, including IBM Skills Build,
(41:26):
to train students for the complexities of tomorrow's challenges. As
April and Justina emphasized, impact starts by centering the humans
using the tool. Ensuring their empowered to access, adopt, and
excel with the technology is just as critical as the
power of the tool itself. Justina and April's work is
(41:47):
a powerful reminder that as we continue to integrate AI
technology into our educational systems. We have the opportunity to
create more equitable and accessible learning environments. It's clear that
the future of learning and technology is bright, and the
adoption of AI is crucial in shaping that future. Smart
(42:10):
Talks with IBM is produced by Matt Romano, Joey Fishground,
Amy Gains McQuaid, and Jacob Goldstein or edited by Lydia
Jane Kott. Our engineers are Sarah Bugaier and Ben Tolliday.
Theme song by Gramoscope. Special thanks to the eight Bar
and IBM teams, as well as the Pushkin marketing team.
Smart Talks with IBM is a production of Pushkin Industries
(42:33):
and Ruby Studio at iHeartMedia. To find more Pushkin podcasts,
listen on the iHeartRadio app, Apple Podcasts, or wherever you
listen to podcasts. I'm Malcolm Glappa. This is a paid
advertisement from IBM. The conversations on this podcast don't necessarily
represent IBM's positions, strategies or opinions.
Welcome to Tech Stuff, a production from iHeartRadio. Today, we
are witnessed to one of those rare moments in history,
the rise of an innovative technology with the potential to
radically transform business and society forever. That technology, of course,
(00:25):
is artificial intelligence, and it's the central focus for this
new season of Smart Talks with IBM. Join hosts from
your favorite Pushkin podcasts as they talk with industry experts
and leaders to explore how businesses can integrate AI into
their workflows and help drive real change in this new
era of AI, and of course, host Malcolm Gladwell will
(00:47):
be there to guide you through the season and throw
in his two cents as well. Look out for new
episodes of Smart Talks with IBM every other week on
the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts,
and learn more at IBM dot com slash smart Talks.
Speaker 2 (01:07):
Hello, Hello, Welcome to Smart Talks with IBM, a podcast
from Pushkin Industries, iHeartRadio and IBM. I'm Malcolm Glawell. This season,
we're diving back into the world of artificial intelligence, but
with a focus on the powerful concept of open its possibilities, implications,
and misconceptions. We'll look at openness from a variety of
(01:29):
angles and explore how the concept is already reshaping industries,
ways of doing business, and our very notion of what's possible.
On today's episode, doctor Lori Santos sat down with two
women at the forefront of AI in education. Justina Nixon
Santil is vice president and Chief Impact Officer of IBM
(01:51):
Corporate Social Responsibility, and April Dawson is an Associate Dean
of Technology and Innovation and Professor of Law at North
Carolina Central University School of Law. Together, they explore the
transformative impact of AI on education and the workforce. As
technology rapidly evolves, industries are being reshaped and the demand
(02:15):
for new skills is at an all time high. This
is opening up opportunities for diverse talent, enabling individuals from
various backgrounds to excel in roles they might not have
previously considered. They also address the ethical considerations of AI,
emphasizing the importance of maintaining a human centered approach. Whether
(02:37):
you're a teacher or a student, or someone interested in the
future of work, it's essential to embrace the role of
AI in the education landscape. AI is not only changing
the way we work, but also how we learn, making
education more accessible, personalized, and aligned with the demands of
the modern job market.
Speaker 3 (03:02):
Justina and Epel, so great to me both of you.
I'm so excited for this conversation.
Speaker 4 (03:06):
Thank you for having.
Speaker 5 (03:07):
Me, and thank you for having me.
Speaker 3 (03:10):
Justina, to start, could you share some insights on your
journey to becoming IBM's Chief Impact Officer and how your
background in engineering shapes your approach to corporate social responsibility.
Speaker 4 (03:20):
So I've had an interest in journey. I'm an immigrant.
I was one of the only black women who graduated
from my school's mechanical engineering program many many years ago.
I started my engineering career at a nuclear facility that's
around forty five miles outside of Buffalo, New York, and
eventually worked for one of the largest telecommunications companies in
(03:40):
the world in engineering, marketing, and eventually in corporate social responsibility.
I was hired to lead the organization away from traditional
philanthropy to creating platforms and solutions that leveraged four G
and five G technologies to positively impact disadvantaged communities, and
that is what has led me to the work that
(04:01):
I do at IBM today, I have the honor of
being the company's first Chief Impact Officer, and is such
a privilege and a responsibility to be at IBM, which
has such a huge history in sustainability, in social and
in the ethical space as well. When I consider how
my background in engineering ties into the work that I do,
(04:24):
I actually think engineers are very skilled at analyzing data
and at innovative problem solving. The other thing where there's
a lot of alignment with my engineering background is really
around how do I think about using technology to solve
some of the biggest issues that we have in society?
(04:44):
And I get very excited about innovating and creating and
leveraging technologies like AI and hybrid cloud to really bring
those into the work that we do and to solve
some of those big challenges that we have in society
today around sustainability and EDGUC.
Speaker 3 (05:00):
That's fabulous, April. Tell me about your path to becoming
Associate Dean of Technology and Innovation as well as a
professor in law.
Speaker 5 (05:07):
So I am a child of an educator, actually educators.
Both my parents are educators. I went to high school
where my mom taught, and it was in the eighties
and it was during that time period when teachers were
given Apple computers, so they were brand new. My mom
brought one home. I started playing with it. Then I
(05:27):
just kind of fell in love with the technology. I
received my undergraduate degree in computer science because of that
early exposure. I went to Bennett College here in Greensboro,
North Carolina. It's an HBCU, a historically black college and university.
I was a programmer after graduating from Bennett, and I've
always loved technology, but I also had a love for
(05:51):
the law. So after being a programmer for a couple
of years, I decided to go to law school. And
even as a lawyer, I leveraged technology in my private practice.
When I decided to begin teaching almost twenty years ago,
I would ask myself, how could I leverage a technology
to enhance my teaching to help the students better understand
(06:13):
the material. And so when our dean at the time,
Brownie Lewis, when she was able to facilitate a five
million dollar grant to North Carolina Central University School of Law,
we created the Technology Law and Policy Center, and she
asked me if I would be interested in serving as
the inaugural Associate dean of technology and innovation. So suffice
(06:37):
it to say, I'm in my dream job. I'm able
to combine my love of technology, my love of law,
my love of education, and so it's really an exciting
time to be in a position like I have.
Speaker 1 (06:50):
I love that.
Speaker 3 (06:51):
April, what inspired you to integrate AI and technology into
your law curriculum?
Speaker 5 (06:55):
It's interesting. As I mentioned before, I've always used it
it personally as an educator, but the thought of teaching
a class that really kind of focused on technology and
the legal implications of that really occurred because Ray Thomas,
who was an IP lawyer and worked at IBM at
(07:16):
the time in twenty twenty so around the pandemic, he
encouraged us to take advantage of the IBM Skills Build
training program, the Train the Trainer program. So really not
until that time period did I even really even think
about teaching a tech focused legal class. And during that
time period, a couple of my other colleagues and I
(07:38):
we did the Train the Trainer Blockchain course. I did
the Data Science course, and then that next summer we
team taught the Blockchain for Lawyer's class, which we designed,
and then I taught a Data Science for Lawyers class,
and so that was, you know, really kind of the
first iteration of us really being intentional about teaching techechnology
(08:00):
and law. And then one of my other colleagues, doctor
Savon Da Grady, she is a professor at the School
of Library and Information Sciences here at NCCU. She reached
out to me and said, would you be interesting in
teaching a joint AI and the law class that would
include her Masters of Information Science students and my law students.
(08:21):
So it's a wonderful interdisciplinary class where you have master's
students and law students and we talk about the foundations
of AI, we talk about the legal implications of policy implications,
and so really, you know, this kind of all started
because of the resources that IBM have made available to NCCU.
Speaker 3 (08:43):
That's so cool, and that class sounds amazing. I wish
I could like drop out of being a professor and
then this class. This sounds awesome. And so as a
question for both of you, in this age of AI
and open technology, does the role of education change? Are
we kind of at a different spot with what education
should be doing now?
Speaker 4 (08:59):
When I look at at the role of education today
from the corporate point of view, I think it does change.
I was having a discussion earlier today with some members
of my team, and we were discussing early professional hires,
so people would want to hire right out of college,
and one of the first things that I shared was
(09:21):
some of the tasks that they would have done previously
will be automated. We will be using AI for those
basic tasks that in the past would have hired an
intern or a recent college graduate to do. And it's
so critical now that we look at higher level types
(09:42):
of tasks that we will need college graduates to do.
And I can foresee in the future hiring someone from
college who does not have at least a basic understanding
of AI. There will be some roles where they will
have to have an advanced understanding, especially if they're in
an engineering role or computer science role, but across the
(10:03):
board they will need to understand AI. So when I
think about the way that education is changing, whether you're
a college student, whether you are an adult professional, you
will need to be a lifelong learner and you will
need to understand how to continuously upskill and reskill yourself
to be able to understand technologies like AI. Because of
(10:25):
the rapid acceleration of these types of technologies, and I
think that's very important. I think everyone has to be prepared,
if they're not doing it today, to upskill and reskill themselves.
And I can't foresee any roles in the future where
candidates will not need to have a very basic understanding
of AI or even advanced understanding of AI.
Speaker 3 (10:48):
That's great, April. Let me ask you a slightly different
version of the question, what is the significance of AI
for students and young professionals today?
Speaker 5 (10:55):
When we think about the disruption that JENAI especially has
caused within legal profession students have to be more adept
when it comes to feeling comfortable, being uncomfortable, and learning
something new. The other thing that I would just kind
of emphasize from an educational standpoint is this also means
that educators have to approach teaching differently. You know, I've
(11:19):
been teaching for going on twenty years and things are
kind of being turned on their heads somewhat right, and
I have had to upskill and reskill. We can't teach
that what we don't know, We can't monitor that what
we don't know. Just as the students have to understand
generative AI, the educators have to understand it as well.
Speaker 3 (11:42):
Yeah, this is something I've felt in the classroom myself
as a psychology professor, right, is that I'm realizing how
much I need to kind of go back to school
and learn about all these AI tools, not just so
that I can teach it, but just so I can
understand how my students are using these things, right, but
also to figure out how I can enhance the educa
cocational experience of my own students in psychology right by
(12:02):
giving them access to these tools. And so, yeah, I'm
curious in your experience, how does AI actually enhance the
educational experience for your law students. And I'm curious if
you could give an example of the type of thing
you do in your classroom.
Speaker 4 (12:15):
Yeah.
Speaker 5 (12:15):
So one of the things that I tell my students
is you got to get your hands dirty. You can't
understand these tools if you don't kind of dig in
and just see how they work. So one, giving them
permission and encouraging them to do it in terms of
how they might be able to use these tools to
help them learn better. I encourage them to as they're
(12:38):
wrestling maybe with concepts that are confusing, they haven't completely
wrapped their heads around it. And when we think about
large language models, these tools are really helpful in that sense. Right,
if there's a passage in the book and you're not
quite following it, or there's a case right and you
need some assistance in breaking it down, running that information
(13:00):
through a large language model and then asking questions about
it can be really beneficial. Also in the law score
the legal contexts, large language models are really helpful for
that as well. But one thing I do caution my
students is that any understanding that you think you have
gained through the use of these tools, you need to
circle back to your professor and make sure that your
(13:21):
understanding is correct.
Speaker 3 (13:23):
I love that and I've seen the importance of that
in my own classroom too. You mentioned so many of
the things that these tools are great at, but I
think another thing that AI in the classroom can help
us with is democratizing the classroom. And so, Justina, I'm curious,
in what ways do you think integrating AI into education
is help us going to bridge these gaps and actually
democratize access to education even more.
Speaker 4 (13:44):
Yeah, I think it's going to really make a difference
in providing access to education in many different ways. I
want to give you an example through alla IBM Skills
Bill program, we're infusing AI technology into the platform to
create a more personally enhance experience for our learners in
every language. So we are creating personalized learning pathways, we
(14:08):
are tailoring the access to our learners to meet their
individual needs, and we're also using AI to answer questions
in a more timely and accurate manner. If you really
think about it, you will need a significant staff to
be able to respond quickly to questions to make sure
the questions are accurate. With AI, we can answer questions immediately,
(14:31):
we can answer them in a more sophisticated way than
we did in the past, and we can also offer
cost recommendations and learning pathways that meet their needs. We
have courses such as AI Ethics and prompt Writing and
getting started with Machine Learning all the way to actually
use in coding to help create these large language models.
(14:53):
So when you think about the average learner that we
are working with, they may want just an introductory course
on AI ethics or understanding how to use AI in
their day to day work, or they actually may want
to understand how do you really leverage or code for
a large language model, and I think it's important to
give them all the different options and create those personalized
(15:16):
learning pathways for them. The other thing around really democratizing
opportunities to provide free access to this kind of learning,
and we do that again through our Skills Bill program.
If you have courses that you can only pay to access,
then you're really not giving the opportunity for everyone to
(15:37):
advance and to learn. So by leveraging AI on our
platform but also providing that free access, we're really helping
to bridge the gap for learners and make sure they
can upskill and reskill themselves and help them also increase
social and economic mobility.
Speaker 3 (15:54):
It sounds like an amazing program, Justina. Can you describe
the vision behind IBM Skills Build and how how it's
built to reach so many learners around the world.
Speaker 4 (16:02):
Yeah. So, IBM has always been committed to investing in
the future of work and we've offered educational experiences for many,
many years. And IBM Skills Built is a program. Again,
it's free, it's open, anyone can access it. But it's
really around getting access to the right technical skills and
(16:24):
workplace learning skills so that you could be prepared for
a career in technology, but in any industry and any field.
We know now that understanding technology, understanding AI or cybersecurity
or any of those tech topics are needed whether you're
working in a tech company, or whether you're working in
(16:45):
retail or in legal or any of these different industries.
So we want to make sure we could provide that
access to learners. In twenty twenty one, we launch a
global commitment to skill thirty million people by twenty thirty
and we are making significant progress against that goal. Just
last year we reported that we skilled eleven point five
million learners around the world, and these are learners that
(17:08):
enrolled in IBM courses, including access in our platform, IBM
Skills Build, and it's really the cornerstone of our education
work at IBM. We're really focus on scaling our work
through partnerships. So we partner with historically black colleges and universities,
and that's how, of course, we got the chance to
(17:29):
meet April. We partner with nonprofit organizations across the globe.
We also partner with governments to make sure we provide
that free access to the communities that are aligned with
their national agenda around skilling, and those communities that are
most in need. It's really important that we scale the
program through those premier partnerships, so that's extremely important to us.
Speaker 2 (17:54):
The vision behind IBM Skills Build is truly inspiring. In
a world where technology is changing every industry, having access
to these crucial skills is more important than ever. This
initiative is breaking down barriers and ensuring that people from
all walks of life can participate in the future of work.
(18:14):
In order to effectively scale a platform, the strategic collaborations
with educational institutions, nonprofits and governments are key. It's clear
that IBM is deeply invested in creating long lasting change
in communities around the world. This approach will strengthen the
workforce globally, helping to bridge the digital divide and create
(18:37):
more equitable opportunities in the tech space.
Speaker 3 (18:41):
So now we're shifting gears to think a little bit
about the real world insights. Justina, what can you tell
us about the skills first movement? This seems to be
an open approach to attracting top talent. What are you
hearing from students and partners.
Speaker 4 (18:54):
Yeah, so IBM has been leading the skills first movement
full quite some time. And the things that we realized
and we actually tested this out, is that you don't
always need a four year degree to be successful at
a tech job. So when we looked at the job
postings that we had, we decided to make a commitment
(19:15):
to have at least fifty percent of our job postings
not requiring a four year degree. And when we started
hiring people without a four year degree in certain roles,
we realized that they were as successful as those with
a four year degree. Now, this doesn't work across the board,
but this is really a way to get access to
(19:37):
what I consider to be untapped talent that are skilled
in different ways. Maybe they've had some experiences already, maybe
they have a different set of badges and certificates or
other credentials that can support them getting access to some
of the roles that are offered by companies. So this
is really a way to help address the opportunity gap
(19:59):
and provide a pathway for diverse talent.
Speaker 3 (20:03):
What impact do you think AI has had on global
learning standards broadly so far?
Speaker 5 (20:09):
I think from the perspective of a law student, realizing
that this little universe in which we kind of thought
we might operate has expanded. When we think about AI
and we think about the implications of AI, it goes
far beyond our state national I mean, you have to
have an understanding of what's going on in other countries.
So even when we're thinking about the regulation of AI
(20:31):
and the governance of AI and policies surrounding AI, it
means you have to be open to learning about what's
happening in other countries where AI is disrupting those spaces
as well. So again, I think it really underscores for
our law students how you have to see yourself as
part of a larger team. Lawyers don't work in isolation,
(20:54):
and it's really good that law students are recognizing that
while they're still in school.
Speaker 3 (21:00):
So it really seems like these technologies are kind of
changing the learning experience and law by making kind of
broader and maybe more global. Justina, can you share an
example of how IBM Skills Build has made a significant
difference in other kinds of learning journeys?
Speaker 5 (21:14):
Yeah?
Speaker 4 (21:14):
Absolutely, I mean this is one of the most rewarding
parts of my job. What I get excited about is
when I travel and I meet with students who have
been a part of IBM Skills Build and they have
been able to use the learning, the certificates, the opportunities
that we've provided them around mentorship as well to be
able to move into a better paying job or a
(21:36):
new job that they did not have the opportunity previously.
We had one of our learners. His name was Oscar
and he arrived in California from Mexico when he was
around five years old and he worked and he attended
college full time. But during his last semester he was
introduced to the IBM Skills Build program through the Hispanic
(21:56):
Heritage Foundation, one of our partners, and through the career
assessment tool of the program, he identified areas where he
could excel and it allowed him to dig deeper into
learning paths that match his interests and his skills. So
he started taking cosses such as AI Fundamentals, he earned credentials,
and he was able to get a better role when
(22:19):
he graduated from college. So we have so many beneficiaries
of the program who have been able to access the training,
also access the mentorship that we provide through the program,
and able to get a better pain on new job
because of it.
Speaker 3 (22:35):
That's fabulous, April. I know your students have used IBM
skills Build. Can you give us an example of how
it's made an important impact on a student's journey.
Speaker 5 (22:42):
Yes, absolutely. So. I mentioned that we taught a Blockchain
for Lawyers class and one of the students had a
big interest in blockchain cryptocurrency. He actually also had a
master's in information science and so he was a dual
agree student. He was also in my AI and the
(23:03):
law class. So he not only got the blockchain certificate,
he got the AI Foundation certificate. He wound up being
the editor in chief of the Law journal, and he
is a legal tech lawyer. And so this kind of
goes back to what Justina was saying about making sure
that the talent that's there has access to the resources.
It really does make a big difference in so many
(23:25):
of our students' lives.
Speaker 3 (23:27):
That's such an inspiring story, Justina. I'm curious what impact
skills Build has had on the communities you work with,
maybe even beyond just students.
Speaker 4 (23:35):
Yeah, so it has had a tremendous impact in our communities.
I think one of the big things about digital skills
and upskill in and reskilling is not just in certain areas.
For example, I mentioned the story of Oscar who was
graduating from college got access to Skills Build. It helped
(23:56):
him get a better paying job. But we have programs
sustainability as well where we are working with farmers in
the middle of Texas and we are providing access to
Skills Built as well so that they can use the
technology and understand the technology that we are bringing to
them throughout Sustainability Accelerator program. And what's so interesting about
(24:18):
this is we need to upskill and reskill them as well.
So if you think about certain jobs where you just
need to better understand the data or the technology, our
partnerships with nonprofits to be able to bring it to
people in different fields, and sustainability is one that we
focus on as well that has been inspiring to me.
We also have programs where we focus on girls, especially
(24:41):
in India, and make sure we're giving them access to
this kind of training and mentorship again to make them
competitive in the marketplace, to make sure that they have
an opportunity at a good paying job and that they
could be independent. So our global partners work with us
on leveraging Skills Build, curating it in a way that
(25:03):
makes sense for their communities that they want to impact,
and we focus on women who have left the workforce
and they want to return. We focus on veterans, We
focus on black communities in the US or Hispanic communities.
So we really look at those really great global partnerships
and make sure we are bringing in people who would
(25:24):
have been otherwise left out of the tech field and
giving them the opportunity to reskill and upskill themselves and
helping them through our partnerships, connect to good paying jobs
as well.
Speaker 3 (25:34):
So so far we've been focused on students in their learning,
but now I want to turn to both of your learning.
I'm curious, what are some challenges that you've faced in
your careers and how have you overcome them?
Speaker 5 (25:46):
Yeah. Sure. So one of the things that I quickly
found out was that law school was not as I envisioned.
You kind of go in, you think it's one thing,
it's another. The curriculum can be very surprising. It's not
like the underground do it curriculum. And I just had
to kind of reach out and develop mentors. And I
(26:07):
was very lucky in that I had a number of
individuals who provided me with a tremendous amount of support.
And I think that's One of the reasons why I
love teaching so much is to be able to support
the students and just help them kind of build their
community and their network so they can excel, and then
(26:27):
they can reach back and help others excel as well.
Speaker 3 (26:31):
I love that. Justina, same question. What are some key
challenges that you've faced in your career and how have
you overcome them?
Speaker 4 (26:37):
Yeah, I'm smiling because what April mentioned is exactly the
experience I've had. I was one of the only black
women to graduate from my school's Meke chemical engineering program,
and when my children were very young, I also stepped
away from the workforce for several years to focus on them.
And I don't think I would be successful today without
(27:00):
the help of mentors. They're the ones that really help
me to be successful, to understand the corporate environment, to
connect me with other opportunities, and I think it's important
to me to make myself available to others, and that's
a really big part of what I do. I want
to make myself and my field more representative of the
(27:22):
work that we do, and I want to make sure
that I provide access to others and give others the
same types of opportunities I have and that's why I
do enjoy leading this type of work at IBM.
Speaker 3 (27:35):
Here here to both of you, giving back to the
students that we were back in the day. It's so important, Justina.
IBM has a goal of equipping thirty million learners with
technology skills by twenty thirty as part of the IBM
Skills Build programming. Why is this initiative important and how
is IBM planning to exactly achieve this?
Speaker 4 (27:54):
Yeah, we believe the talent gap is one of the
biggest challenges that we face in society today. So AI
of course is accelerating this movement and there's more of
a sense of urgency. However, we know that there is
a significant talent gap and that there are many people
that are disadvantage, who are not getting access to the
(28:14):
right opportunities, and that's why we made the commitment to
skill thirty million people by twenty thirty, and that's why
we're providing free access to programs like IBM Skills Build
with over a thousand courses in twenty languages, to make
them accessible to all and to give others the chance
to be successful. Last year, we also announced the commitment
(28:35):
to train two million people in AI over the next
three years, because again, we understand the importance of AI
and understanding it to be successful in any job, especially
an entry level job. So we're continuing to expand our
AI offerings because we know that it is exacerbating the
(28:57):
talent gap and we know that these skills will be
in demand significantly by corporations.
Speaker 3 (29:04):
So, April, Justina just mentioned, you know, all the changes
that we're seeing at AI. I'm curious what role you
think educators play in terms of making students aware of
all these technological and societal changes happening in their fields.
Speaker 5 (29:16):
Yeah, educators are so vital. And one of the things
that I've noticed is that students who have not engaged
with the tech have not done so either because an educator,
a teacher or professor has told them not to that,
you know, they just say, you know, no, you can't
use it, or they haven't said anything at all. They
haven't encouraged them to look into it to try it.
(29:40):
And we have to encourage students to become familiar with
these tools for all the reasons that Justina mentioned in
terms of what the workforce is demanding, but also if
we don't provide them with guidance, then there's the real
chance that they will use them inappropriately, So we have
to to provide them with permission to dive in. We
(30:04):
have to teach them how to use these tools ethically
with integrity, what are the best practices? And again that
kind of goes back to something I mentioned before, which
I speak about a lot, is that it requires educators
to themselves learn about these tools. And that's one of
the reasons why I was so appreciative of the trainer
(30:26):
program because again, we started offering courses at the law school,
because these courses were provided free of charge, of course
to our faculty, so we were able to upskill and
reskill and then turn around and share that with our students.
So educators are vital. But I also think that we
(30:46):
need to make sure we do a better job as
a society of supporting our educators so that they can
gain the knowledge and then pay that forward to the students.
Speaker 3 (30:58):
Right, because not everybody's provided the kinds of free resources
that IBM provides. We're teachers who really need it. April,
in what ways has IBM Skills Build changed your perspective
on the potential of AI and education.
Speaker 5 (31:11):
Well as far as the potential. It makes it so
much easier, right, I mean, it lightens the lift for educators.
If I had to design the AI Foundations class ground up,
there's no way I could have done that. And if
we're thinking about exposing students, regardless of their area of
(31:32):
study to AI or to technology, those that are experts
in those particular spaces, they're not going to be able
to build those courses. So having something like IBM Skills
Build available so that we can, you know, design a
course around those modules that are already put together, is
(31:53):
incredibly helpful. And so it means the potential of providing
AI education to all students just really increases the possibility,
which is good for all of us.
Speaker 3 (32:05):
Justina, as you think about your work at IBM, how
do you balance the need for technological innovation with the
importance of maintaining a human centered approach and education.
Speaker 4 (32:14):
I really like how April touched on ethics earlier, because
it is so important that we continue to make sure
the human is at the center of everything that we
do and that we are protecting people even as we
foster innovation with AI. And the way that IBM has
done that, we've had reasonable policies and guardrails in place
(32:37):
around everything that we do around AI. I'm actually a
part of our AI Ethics Board. We meet on a
regular basis to discuss cases, to discuss technology, and we
actually have discussions and make decisions on what is the
right thing to do, and we are always considering a
human centered approach. How do we make sure that we
(33:00):
are protecting people and how do we make sure that
we have their voice in every decision that we make.
We have three principles around trust and transparency, and the
first is the purpose of AI is to augment human intelligence,
not replace it. The second is that data and insights
belong to their creators, So with anyone that we work with,
(33:23):
we make sure that we protect their data insights and
it belongs to them, it doesn't belong to us. And
then any new technology, including any AI products, systems, platforms,
must be transparent and explainable. So I think that's important
to have those types of principles in place. I'm proud
to be a part of the AI Ethics Board making
(33:45):
decisions around how AI is deployed, and I think making
sure that we continue to keep humans people at the
center of every decision we make around innovation is how
we protect them.
Speaker 3 (33:58):
So we've talked so much about all the changes that
are happening right now. Justin know, I kind of want
you to put on your like, you know, future prediction cap.
What future developments do you anticipate in the realm of
open education.
Speaker 4 (34:10):
I think that And I've been in education a very
long time, and I remember us talking about personalized learning
maybe ten years fifteen years ago, and I'm not sure
it ever came to fruition in the way that we imagined.
And we know that the teacher will always be the guide.
They will always be the one that's needed. I don't
(34:31):
think any technology will ever replace teachers, but I think
what AI can do is enhanced that experience by really
creating personalized learning content and experiences in the education space.
I think that is one of the things that I
would say should be something we see in the very
near future around the acceleration of AI.
Speaker 3 (34:55):
April, You've done so much elegant work teaching your students
about AI and technology. I'm curious what advice you have
for other educators and technologists looking to advocate for a
skills first approach or more AI training for their students.
What advice would you have for them.
Speaker 5 (35:10):
The first piece of advice that I always give is
don't feel overwhelmed because you can. I mean, there's a
lot going on. It's hard to keep up with how
fast things are moving, even for those of us that
love this space. You don't have to do everything at once,
just you know, baby steps and that's absolutely fine.
Speaker 2 (35:28):
Thank you.
Speaker 3 (35:29):
As a professor, I have to say I needed to
hear that, so giving myself grace taking that one to heart.
Speaker 5 (35:33):
In fact, I have in my PowerPoint presentation the first
slide I put up is of a turtle and it
says slow your role. And it's like, I'm going to
be talking about a lot of things, but I want
you to remember this slide, just slow your role. It's okay.
The other thing that I encourage professors to do is
to join an educator community group. And there are a
(35:55):
lot that have popped up as a result of jin
Ai and the disruption we're seeing just in the education space,
and so how can we crowdsource our advice without a doubt?
If you're thinking about a particular assignment and how you
might use Jenai in crafting that assignment or incorporating it
in the assessment. There is a professor out there who
(36:18):
has either already done it or they're also thinking about it,
So you know, let's be more collaborative. And I will
say that's been really wonderful for me as a law professor,
being able to collaborate with professors from other disciplines. And
the last thing that I would say, you know, sometimes
(36:39):
it can be hard to convince your colleagues within your
institution to be progressive, and if you can bring an
outside speaker to come in and kind of just share
what's going on, that can oftentimes get people moving even
if you within the building aren't able to get that
same traction. So those serve kind of the three pieces
(37:01):
of advice that I'll typically give professors.
Speaker 3 (37:04):
So this has been a fabulous conversation that we are
reaching the end of our time. But before we wrap,
let's do a speed round. Ready, first question, April first,
complete this sentence. In five years, AI will blank.
Speaker 5 (37:20):
In five years, AI will be more fully leveraged to
help lawyers better serve their clients more efficiently and will
help close the access to justice gap.
Speaker 3 (37:36):
Nice justin the same question.
Speaker 4 (37:39):
In five years, AI will have disrupted every industry and
there would have been significant advancements made in education and
sustainability with the use of AI.
Speaker 3 (37:50):
Okay, speed round question number two. What is the number
one thing that people misunderstand about AI?
Speaker 4 (37:56):
Justinat you first, The number one mis understanding about AI
is that it's going to destroy everyone's jobs. I think
that people with AI skills or understanding of AI will
have some advantages in the workplace.
Speaker 5 (38:10):
April, the number one thing people misunderstand about AI is
that only computer scientists or mathematicians or engineers can understand it.
You can gain an understanding again through baby steps, and
there are so many resources available. If you explore the
(38:31):
information and bite sized pieces, you can begin to wrap
your head around it.
Speaker 3 (38:36):
Okay, next speed round question, what advice would you give
yourself ten years ago to better prepare you for today?
Justina you first.
Speaker 4 (38:44):
The advice I would give myself ten years ago is
to continue learning. I always love understanding technology. I always
dove deep into whether it's machine learning or four G
and five G technologies. Understanding AI and hybrid cloud today
is something that I also enjoy doing, so I would
say continue learning, continue diving into these technologies, Continue understanding
(39:10):
what it means for you and your future career, April.
Speaker 5 (39:14):
Be more interdisciplinary, so stay current with the evolution of
computer science, but also incorporate the study of data and
ethics and sociology because the challenges they're opposed by AI,
they're multifaceted, and you have to have an understanding in
(39:35):
these areas to really address the promise and the challenges
of AI.
Speaker 3 (39:40):
Final speed round question, how are you already using AI
in your day to day life today, April.
Speaker 5 (39:47):
So, I use it in my teaching. The other way
that I plan on using it in the future is
serving the students and then using the data analysis tool
to help me gather that information and figure out how
best to address the information that I've received from my students.
Speaker 3 (40:04):
Nice Justina, Yeah.
Speaker 4 (40:06):
So the way that we're using AI today is to
actually analyze complex and large data sets in our sustainability
work to provide insights to some of our partners on
how they can increase crop yield, for example, or how
they can deliver clean energy solutions to rural areas. So
(40:28):
we actively using it in the programs that we have
within our corporate Social responsibility portfolio and also integrating it
into our Skills Bill platform.
Speaker 3 (40:39):
Well, thank you both so much. You did excellent in
the speed round, but it was just so fabulous to
talk to you both today. I think this is a
time of so many exciting challenges in the field of education,
and it was fabulous to hear more about how AI
and IBM Skills Build and so many technologies can help
us out. Thank you both so much for this fun conversation.
Speaker 4 (40:57):
Thank you for having us. It was great.
Speaker 5 (40:59):
Yes, thank you, Thank you.
Speaker 2 (41:03):
What an insightful conversation with Justina and April. This discussion
demonstrated how technology and education can intersect to create a
meaningful impact in today's educational landscape. Students must utilize AI
in the classroom in order to prepare for the modern workforce,
and educators must use the technology, including IBM Skills Build,
(41:26):
to train students for the complexities of tomorrow's challenges. As
April and Justina emphasized, impact starts by centering the humans
using the tool. Ensuring their empowered to access, adopt, and
excel with the technology is just as critical as the
power of the tool itself. Justina and April's work is
(41:47):
a powerful reminder that as we continue to integrate AI
technology into our educational systems. We have the opportunity to
create more equitable and accessible learning environments. It's clear that
the future of learning and technology is bright, and the
adoption of AI is crucial in shaping that future. Smart
(42:10):
Talks with IBM is produced by Matt Romano, Joey Fishground,
Amy Gains McQuaid, and Jacob Goldstein or edited by Lydia
Jane Kott. Our engineers are Sarah Bugaier and Ben Tolliday.
Theme song by Gramoscope. Special thanks to the eight Bar
and IBM teams, as well as the Pushkin marketing team.
Smart Talks with IBM is a production of Pushkin Industries
(42:33):
and Ruby Studio at iHeartMedia. To find more Pushkin podcasts,
listen on the iHeartRadio app, Apple Podcasts, or wherever you
listen to podcasts. I'm Malcolm Glappa. This is a paid
advertisement from IBM. The conversations on this podcast don't necessarily
represent IBM's positions, strategies or opinions.
TechStuff News
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