November 1, 2023 • 36 mins
As many practitioners are embracing AI with open arms, we must also remember the importance of privacy and ethics. In our conversation with Mr. Cory Cummings, CEO of Cummings Solutions, we learn about to the need for a personal code of ethics for coaches, potential privacy issues that may arise and of course, the significance of using data securely when using artificial intelligence. We also delve into academic research tools like chatGPT and its ScholarAI plugin to give you a clear understanding of how these tools access real-time data and enhance self-awareness. Let's not shy away from AI, but rather adapt and learn to pose the right questions. Tune in, and together let's demystify the world of AI in coaching and beyond.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Welcome to Conversations where today we
have Mr Corey Cummings, anentrepreneur and coach.
He is CEO of Cummings Solution,which works with individuals
and organizations to identifyand realize their full potential
.
His team also works withorganizations to solve complex
problems through customtechnology solutions.
(00:21):
For all you.
Strengths, enthusiasts, Coreyleads with Activator, Futuristic
Ideation, Command andSelf-Assurance.
Welcome to the show, Corey.
How are you today?
Speaker 2 (00:33):
Great Thanks for having me.
Speaker 1 (00:34):
Absolutely.
Where in the world are youcoming from today?
Speaker 2 (00:39):
North Carolina.
Right in the middle of NorthCarolina it's a little small
town called Liberty, I think.
Speaker 1 (00:43):
We have three stop lights now, so we're growing a
little bit, so yeah, so right inthe middle of North Carolina,
so today we're talking aboutartificial intelligence and I
have been trying to understandthat a little more and I know
for you as a technologist and acoach, you probably have it more
figured out than me, so I'mjust learning about it and
(01:06):
really going to be leaning inhere and trying to have you
explain to me, as well as thelisteners, a little bit more
about the space that it seemslike is top of mind for people,
and part of that is that we'reconfused, right.
Speaker 2 (01:25):
Well, I think with coaching there's a real, a very
real human aspect that needs togo into coaching, right.
So when you're working with aclient, you're asking powerful
questions, yeah, you're goingthrough and helping them maybe
understand, through assessments,some of their own personalities
, their own strengths, thosetypes of things.
(01:46):
What's scary about AI is thatyou could ask the AI tell me
this person's strengths and howdoes that apply to this person?
So a lot of that analysis thatwe're doing manually my word
manually there AI can do for you, right.
(02:06):
So the fear is okay.
If AI can do these things, ifAI could ask questions
contextualized, then why do youneed a coach?
So it's the same idea of lookat McDonald's when they had the
boards come out you could orderon the board.
Cashiers were intimidatedbecause what about us?
(02:30):
So what does that do for us?
So I think that's kind of if Ihad to kind of guess and look
into.
Maybe causing some of that fearis where does the coaching
profession go in the age of AI?
Right, and then individually,there's for certain coaching
task, the reality is an AI coulddo it better.
(02:52):
So analyzing, for example, aClifton Strengths assessment
would be a great example.
You've been doing that foryears, but for some of us that
haven't been doing that quite aslong, being able to upload a
Clifton Strength profile andthen just ask questions about it
(03:14):
, right, help have the AI kindof almost use a work-esure
calculator to go and just reallycontextualize some of these
things and give you someinsights into a person based on
a certain assessment.
Yes, it's scary, but it's alsopowerful.
You look at mathematicians whenthe calculator came out right.
It's a very similar concept andI think it's exciting, but it
(03:39):
could also be intimidating ifyou let it.
Speaker 1 (03:44):
Yeah, I think when I think about it, I think about AI
as more partnering with me tofor those tasks.
Now there's a difference whenwe start bringing into AI into
the coaching conversationwhether it be apart from us,
maybe in between sessions orsomething like that that to me,
(04:08):
I get a little frantic about it.
It's like I won't knownecessarily how that's going, or
will I.
Do you happen to know anythingabout that?
Speaker 2 (04:18):
I think the question is regarding AI replacing a
coach in a coaching session.
Did I understand the questioncorrectly?
Speaker 1 (04:26):
Yeah, so what I've heard of is these chatbots.
If you deploy these, so it's inbetween sessions I may show up
and have a great session withyou, and in between I may have a
chatbot that then maybe takesover for the next few weeks
until I see you again.
Speaker 2 (04:46):
Okay, I understand what you're saying.
I think there's some power inthat, particularly if you're
working with a client onachieving certain goals.
Just say, for example, that wehave a coaching session and out
of that session the client comesup with a.
You work with them, they comeup with a plan to go and make it
(05:07):
up, unless you're what thething is.
But we have a four-step processwe're going to go through
together.
Some of the value I can see isin the automation and
particularly with AI.
If AI knows about that plan,being able to text them
encouraging messages along theway, being able to check in with
them when they haven't have youdone your devotionals today?
(05:28):
We have a goal of creating aconsistent habit of 30-minute
devotionals every day.
Having that checkup in betweenthat, frankly, I forget to do I
think is a powerful tool.
I wouldn't be intimidated bythat.
Now.
What I wouldn't appreciate ifthe AI then tries to do a
(05:50):
coaching with the client, right,I think that crosses a
different line, particularlywhen you're not in control of it
or you're not aware of thosethings happening.
But I think, as long as you cankind of understand what's going
on, what the AI tasks are, itcan be helpful.
Speaker 1 (06:10):
Yeah, I think coaches still need to have their finger
on the pulse of things withtheir clients for sure.
Speaker 2 (06:20):
Sure, and then just looking at things like you know,
if I'm coaching it with aclient and we're working on
self-awareness right, so we doan EQ assessment and we realize
there's a challenge here.
You know there are apps outthere now that you could
actually record.
How am I feeling today?
You know you go from greensmiley to red mad face, right,
(06:44):
and you click a button.
Or if I'm, throughout the day,start feeling upset or I have
some type of emotional responsethat to something that doesn't
feel right, I can record that Iclick the button on the app.
Why am I feeling this way?
I feel blank because blank,right.
So we're kind of recording thisand what you could do with that
(07:06):
data and with AI is if thatdata is being saved like
somewhere where the coach andthe client can collaborate on
that data, right.
So we're looking at over thepast three weeks.
I'm seeing a lot of red faces at3pm on Tuesdays, right, and
that's where me looking at thedata.
First you got to be able tocollect the data, but then me
(07:28):
eyeballing the data and tryingto pull information out of it
and I feed that data anonymously.
Obviously we want to protectpeople's identities, but, hey, I
have a client who has, you knowthis, these patterns of you
know reporting how they'refeeling, help me find some, make
some sense of that.
And that's where AI could comein and say, hey, this person on
(07:51):
Tuesdays at 3 o'clock is a lotof orange faces, right.
So now that creates a coachingmoment for the coach to go in
and say, okay, let's talk aboutthat, let's talk about that 3
o'clock.
Oh, I get this when I get myemails from my clients about
this project update, right, sowe can dig a little bit deeper
into some of that.
So I'm not sure if thatnecessarily answers the question
(08:14):
, but when you, when you look atkind of being able to have that
tool set that says, hey, I'mcollecting data so that I can
help move my client from point Ato point B, right, and then
being able to have the AIcontextualize some of that so
that my mind doesn't I can'tlook at data and very easily
pull patterns out of it, but anAI can.
Speaker 1 (08:37):
How do you think coaches can get more comfortable
using tools like this?
Speaker 2 (08:42):
I think you got to try them right.
I mean, for example, you know Ican share a few here just on my
screen, so just I can.
There's a couple that are veryeasy to go and play with.
Can you see my screen?
Speaker 1 (08:57):
Here it can.
Speaker 2 (08:59):
Here's a tool right now is tied in with chat GPT,
it's called askyourpdfcom.
Right, you would go in, youcreate an account and you can
actually upload documents tothat site, right, askyourpdfcom?
So what I've done?
If you're looking at my screenfor those of you that are I've
uploaded several differentdocuments my CliftonStrengths
(09:23):
document, spiritual giftsassessment and so forth.
So if I were to go in and justclick new conversation within
this context, I can actuallyhave a conversation about this
document with an AI.
So you know what are thisclient's top strengths and then
(09:53):
it's like a chatbot, right?
So as it goes in, it reads thedocument and it tells me the
strengths, where it got theinformation and then you know,
based on this, what are somethings I should be aware of when
setting goals with this client,right?
(10:28):
So it's just so the footagethat can't see the screen.
I asked the question.
Basically, this is aCliftonStrengths results.
I asked it to look at theresult, read the document for me
and, based on the top strengths, give me some things I need to
keep in mind.
How can I help them meet theirgoals by leaning into those
(10:48):
strengths?
And you're seeing the screen.
For those that aren't, it's topthree.
Number one leverage theirpositivity.
Number two engage theirintellect.
Number three tap into theirinput.
Number four recognize theirdeveloper talent.
So by using these strengths, ifI'm working with this client,
you know this particular tool,this particular AI, was able to
(11:13):
very quickly help me pull somestrategies together that I can
apply in my coaching sessions.
If you take this a step further, I'm not going to go too deep
into it, but let's say that Iwanted to say, okay, I have
CliftonStrengths, but I also hadthe Emotional Intelligence 2.0,
and I have a spiritual giftsassessment.
(11:34):
Each of these documents have anID that you can actually use
within chat, gpt.
You can say hey, based on thesethree assessments, give me some
deeper insights into thisperson.
So that's just kind of wheresome of these can tie together
to be able to provide you moreinformation and contextualize
(11:58):
information so that you could goout and potentially do a better
job coaching.
Speaker 1 (12:03):
Yeah, that's amazing.
So that leads me to now thatI'm seeing that.
How do you know whichtechnology which is best for you
to use?
Meaning, if we're talking aboutthe developers behind it, I
mean, it would be like a shot inthe dark for me to go on and
say, okay, I'm going to try thisone.
(12:24):
Do you have any?
Speaker 2 (12:26):
Yeah.
So one thing I would say is,you know, whenever you're
working with technologydatabases, you really want to
understand their privacypolicies.
So, if I'm going well, don'tshare your client's information
in any of this.
If you're going to share anassessment, be sure it's
anonymized, those types ofthings.
(12:46):
So there's that.
But then also, you want to kindof look at how they're getting
their data.
So, for example, chat GPT it'sa Wild Wild West, right.
I can go to the chat GPT, ask ita question and it's going to
find the first answer it comesto and give you a really great
sounding answer.
But it may be completely wrong,right?
So what you don't want to do islean on chat GPT to do certain
(13:11):
things for you and then justassume that it's right, right,
so you're going to have tovalidate that information.
One thing that's been superuseful for me when it comes to
academic research, as an example, is chat GPT.
They have a plugin calledScholar AI.
So basically what it is, I canactually kind of show you on the
screen here.
So if I actually do scholar AI,it actually ties into academic
(13:43):
databases multiple of them,right?
So let's say that you know,please provide me.
I'm asking chat GPT here.
Please provide me with fiverecent academic sources that
discuss increasingself-awareness Right.
(14:06):
So we're trying to help aclient do this by using chat GPT
alongside the scholar AIplug-in.
Speaker 1 (14:19):
Thinking.
Speaker 2 (14:23):
So you see it's using scholar AI.
So now what it's actually doingis it's going and searching
that academic database, justlike you would if you had access
to your university's database,and so forth.
So now it's finding severalarticles about increasing your
(14:43):
self-awareness.
You can go take out thosearticles.
It gives you an abstract right.
So I'm just for the sake oftime, I can stop this thing and
say, based on the sources youare finding, create a five-step
(15:06):
process for increasingself-awareness.
Speaker 1 (15:18):
Certainly.
Speaker 2 (15:19):
it says Yep, so here's, a.
Speaker 1 (15:21):
Of course I will Right.
Speaker 2 (15:25):
So it gives you just a nice outline of some ways that
we can work with our clients,potentially based on the
academic research that existstoday.
How to go and help you, how togo and do this.
So, just for those can't see it, the steps it came up with is
engage in perspective talking.
Participate in reflectiveactivities.
Increase knowledge on globalissues, self-assessment and
(15:48):
feedback.
Engage in collaborativeactivities.
Now, you may hate some of these, you may love some of these,
you can reorganize and so forth.
So, going back to the questionwhich tools, I think chatGPT is
a good one to start with.
Look at some of their plugins,like ScholarAI.
There are others, like Ask yourPDF.
(16:09):
I think those types of toolsare probably a good starting
point, but they're literallytens, thousands, hundreds of
thousands of startups right nowtrying to leverage UI for this,
this or that.
So I think that when you try toget in too many of those things
, I think it gets kind ofdangerous.
(16:29):
So I would stick today withchatGPT, chatgpt plugins, and
then maybe, as time goes on,some of these tools get more
proven.
You could kind of dip into someof those.
Speaker 1 (16:41):
Now with chatGPT, I saw that you were using as at
the 4.5 or 4.0.
It's not the free version, it'sthe paid, correct.
Speaker 2 (16:52):
Yeah.
So the free version gives yousome very good answers, but the
paid version introduced thisplugin, which I think is a game
changer.
So you have third parties.
If you pay, it's like $10 amonth.
It's not super expensive, butif you pay for that, you get
access to third party plugins.
So ScholarAI being probably myfavorite plugin that can
(17:16):
actually tie your chatGPTsession to real-time data, which
is where chatGPT3 doesn't havethat.
So it's basically the knowledgecutoff of chatGPT3 is somewhere
in 2021, I think it is.
So now you're dealing with mostrecent two or three-year-old
(17:38):
data, whereas with these plugins, I could go get articles from
2023 that were written andpublished yesterday.
So that's the value that payingfor the upgraded version gives
you.
Scholarai is just one they have, like Expedia has one.
There are so many different.
I looked the other day.
I think there were like 40pages worth of plugins.
(18:00):
You can tie all this power andcontextualization into real-time
data, so that's really a bigopportunity here.
Speaker 1 (18:11):
Now would you still suggest people kind of validate
what it's saying, like it gaveyou that article.
Do you just trust that thatarticle is in fact a live
article wherever it?
Speaker 2 (18:25):
I mean I don't.
So what I do?
I'm a doctoral student at RegieUniversity, so what I do is
anything that chatGPT gives me.
I look it up in that database,so I kind of have another tab
open that I would then paste theinformation that I would
actually go into the article bymyself.
Make sure you validate.
99.9% of the time, though, it'scorrect.
(18:48):
So whenever you're using theseplugins now, chatgpt3 will just
make stuff up.
It'll create references.
That looks right, uses realauthors, the name looks like it
probably could be a thing, andthen you go look it up but it
doesn't exist anywhere.
So it's always good to validatethat.
(19:12):
Hey, this information is comingin is real.
I have found that again usingvery specific chatGPT4 with
scholar AI.
99% of the time it is that'scorrect.
Speaker 1 (19:29):
It's good.
It's good and I'm glad to hearthat you validate.
Thank you.
So we did talk about so.
With the free version of chatGPT, that information is already
old.
So when we take a look at,let's say, five years down the
road, what are things going tolook like from your view?
Speaker 2 (19:51):
Well, I think it's just going to get better.
I mean, you look at the pace atwhich what chat GPT has been
around a year as far as beingavailable to the public.
You look at the pace at whichit's changing things.
I think that accelerates overthe next few years.
I think what we're also goingto see is potentially
(20:12):
legislation that limits the useof AI, limits its applications.
I don't think you put the genieback in the bottle.
I think we're past that point.
You look at even academicintegrity, just like that where
you have.
How do professors help theirstudents learn and identify
(20:40):
cheating?
That's a big problem, I'm sure,right now in the academic world
.
I don't know the answer to that, but it's not going away.
So I think some mindsets aregoing to have to change.
How do we better help ourstudents learn, for example, in
academia or in coaching, inannually looking at assessments
(21:01):
and trying to figure out andcontextualize data.
It's going to be like doingmath by hand, so it's being able
to, five years from now,thinking coaching.
You have all these differenttools.
The thing is going to beoverwhelming the number of tools
that are out there and, frankly, the coaches that are going to
do well, five years from now,are the ones that are exploring
(21:24):
and experimenting today.
What's out there?
How does that look?
How does that apply to me?
How do we maintain ethics andmaintain integrity as a coach
and use the tools?
I don't think those answers areout there right now.
I think those are the questionsbeing asked, but I think that
five years from now, thegroundwork that we're doing now
(21:47):
to put some of those boundariesaround AI are going to be
critical, because there's notelling where it could be five
years from now.
Speaker 1 (21:56):
Yeah, and you did mention ethics.
So let's go there.
When we talk about technologyand ethics and coaching and
ethics, and it seems like it'sjust like you use the word wild,
wild west and that's what itseems to be.
So when you're thinking aboutartificial intelligence and
ethics, what kind of bubbles upfor you in that arena?
Speaker 2 (22:19):
Well, yeah, ai is amoral, right, it's not good,
it's not bad.
So I think the same criteria weuse today for ethics has to
apply to everything that you dowithin AI.
I think there's also a realitythat it's going to be a need for
personal ethics, being able tocreate a, even write it out.
(22:44):
What are my personal ethicsaround coaching?
It's going to become harder andharder to differentiate between
humans and robots and AIs.
I shouldn't use the term robotYou'd think of Terminator but
it's going to be harder todifferentiate between human and
AI.
So I think one is eternalizing.
(23:05):
What is my ethical code?
What is my personal code ofethics?
And then, specifically withincoaching, some of these coaching
organizations.
I'll talk about them in thenext few minutes.
I can't think of them.
I should be able to, but thesecoaching organizations that are
providing credentials, providingtraining, they need to be right
(23:27):
now.
I'm sure they are creating.
What are our code of ethicsaround AI, the use of AI?
It can't be so limiting thatyou don't take advantage of the
technology, right, but then itcan't be so free that it
continues to be the Wild WildWest.
So I guess the way I wouldanswer that question is twofold.
One is the personal code ofethics, internalizing that as a
(23:51):
coach.
And then two is trying to getahead of this thing now as
organizations, coachingorganizations that says here is
our stance on AI, what we willdo, what we won't do.
Speaker 1 (24:06):
And I also think that those codes and Bellarm is
going to be ours is coming outwithin the next week and I think
it's a work in progress.
I think it's something that, aswe learn more and as AI
develops, and as coaches,consultants, whatever industry
(24:28):
you end up in, I think that, astime goes on, we're going to be
finding out.
I mean, as a Christian, I knowwhat my ethics, I have Christian
ethics and that's my guidinglight.
Those are my boundaries andwhatnot.
But I think that, as time goeson, I think verbiage is going to
(24:49):
be different.
I think questions are going tobe answered as we start diving
in and start utilizing thesetools and having those aha
moments, and how can we thenpoint it back to ethics, whether
we are going to either beutilizing this or not, and for
what reasons?
Speaker 2 (25:08):
Yeah, and I think that that's another reason to
not be so scared of this stuffis to really start digging in,
because we want ethical peopletrying the stuff out, right?
So if you're afraid to get inthere and play with it and try
it, experiment, then you don'teven know the right questions to
ask, right, and that's what Iwould encourage practitioners,
(25:30):
scholars, get in there, playwith this stuff, figure out
where it's going wrong so thatwe can build those boundaries
around it.
But you can't do that if youdon't touch it, if you just
scared of it and don't get intoit.
So, yeah, yeah.
Speaker 1 (25:46):
And you did note about when we talked about how
do we know what tools are bestand you did mention chat, gpt
and whatnot and to look at theprivacy.
So, when, if I were to look ata tool and look at their privacy
, what might be something thatwould stand out to me that I
(26:08):
would say, yes, this issomething that perhaps I could
use and feel good about it.
Speaker 2 (26:14):
Yeah, one of the things is, you know, with chat
GPT there's a private mode thatyou can go into, because,
basically, chat GPT the way chatGPT works is it actually all
the data that you put into it,all the inputs you put into it,
become part of this library,Right?
So it's as you're interactingwith it.
It's continuing to learn andget smarter, right?
(26:36):
But there may be someinformation that you don't want
out there as part of the publicdomain.
Maybe it's proprietaryinformation that you want it to
help you analyze those types ofthings.
So chat GPT has a mode that youcan put it in where it doesn't
actually share that data withthe wide world, right?
(26:58):
So that's very important andthey have it.
I forget exactly how you get toit, but they have documentation
on what that looks like.
If you don't within the privacypolicy, if they don't have a
data retention or a data sharingpolicy, then they could be
selling that data, right,because you data mining it, you
know taking those prompts andselling it.
I think that it might be okayin certain dynamics, but
(27:21):
particularly in a coachingrelationship with a like if you
don't want that, right?
So I think that's privacypolicies is probably one of the
biggest concerns that I haveBeyond that.
I mean you can kind of get intothem and not all these
companies have documentationlike this but how do you get
your data?
How do you?
You know where do you sourceyour data.
(27:41):
You know chat, gpt one of thecomplaints that early on and
still, frankly, some still anissue today is kind of the first
data it comes to.
You know what I mean.
It assumes that's the correctdata.
So you know, as AI gets better,you want to kind of look for
things like hey, how manysources are you looking at
before you answer this question?
(28:01):
You know those types of things.
So privacy policy, where theysource their data and then also
how they share the data.
Speaker 1 (28:14):
That's a lot and I feel like people just click a
button and you know they're notlooking at these things.
It's just well this looks cool.
This looks like it'll work, orthis looks like, whatever it is,
and I guess that's my it's nota fear, but it's when I think
(28:35):
about the information that it'sgathering, even if it's wrong,
information that the chat GPTsof the world is gathering to
then send out to people, if it'slearning from what their input.
Speaker 2 (28:49):
Then a lot of people are going to believe wrong
information.
I mean, you know, I think thethere are a lot of people that
will just buy whatever they see.
But I think it's up to us to bewiser than that.
Right, meaning that everythingthat comes out of these AI tools
right, at least right now itneeds to be validated.
(29:12):
It needs to.
You know.
It can't replace, you know,research, it can't replace
ethics, right?
So I think it's just beingaware of it now, use it, but
then take everything with agrain of salt.
I think that's how you getthrough the next five years.
Now, I have no clue, five yearsfrom now, what all this looks
like, but it's going to beharder, even harder then.
(29:35):
So the reality is, there's noway around it.
People are going to be fooledby this stuff Bad data they're
just going to swallow it, and sowe got to help them understand
and see.
Okay, I understand that you gotthis from here, but doesn't
necessarily mean that it's realor true.
Here's what is.
Speaker 1 (29:55):
Yes, A lot to know, a lot to learn.
What do you say about?
You know on social media thatthere's, you know, pay whatever,
or it's a free course or a paidcourse.
What do you see out there thatwhere people should go?
(30:15):
I mean, should they come to you?
Speaker 2 (30:18):
As far as like with learning AI.
I mean there's so much outthere I don't even know the
right places to tell you to go.
There are a lot of good sitesout there that have been around
for a while, that have taughtother technologies.
I can't think of you off thetop of my head, but what I would
say is there's a brand new siteout there that's trying to
teach you about AI.
(30:39):
They want you to pay $500.
Let's stay away from that.
But if there are sites outthere that have been teaching
technology tools for the last 20years, a plural site comes to
mind as a good place that, hey,they're not just putting a
website up, they have a trackrecord of teaching, yet they
(30:59):
have courses that are reviewedby real reviewers that you can
get into and start learning alittle bit about AI, about
machine learning.
That's a good place.
I will put a shameless plughere a little bit.
I mean.
So I'm working on software nowfor coaches and one of the key
things that I'm working on doingis integrating certain aspects
(31:20):
of AI into our platform.
So, just as an example of atool that we have, we use disk
driving forces and EQ for kindof our three main assessment
bases, if you will.
So one of the things that we'vebuilt into our tool is the
(31:40):
ability for me, as a high D typeA activator, to be able to
write an email in my voice how Iwould say it, and then click a
button and it'll actually changethat wording of that email to
make it more palatable foranother personality.
(32:02):
So this is an example that thetools that we're working with
coaches on that's availablewould be available.
Other things is being able tolook at two personalities and
look at where the conflicts, notjust a generalized.
Well, this type of person, Okay, based on a broader
(32:23):
understanding of who I am and abroader understanding of who
they are.
If I am trying to communicatesomething clearly to them in
this context, what's mychecklist?
What are the three, four thingsI need to remember in that
conversation?
So those are the types ofthings that we're trying to
empower coaches with technologybut then also put a lot of
(32:45):
guardrails around that we haveto put a little flag next to
some of these features and say,hey, this is experimental,
Please validate some of thisinformation, et cetera.
But we're getting a lot ofpositive feedback, especially
for people like me who, at mypatient's level is not always
the highest, being able toreally get summarized, my
(33:09):
patient's tolerance is not superhigh, but I value accuracy and
I value competence.
So there are these two parts ofmyself that are always kind of
battling within myself, but thisgives me the ability when I'm
coaching especially if I haveany type of assessments to be
able to get those key pointsfrom this 70-page document, all
(33:34):
of which matters.
So, yeah, that's something thatyou can reach out to us.
Cummings Solutions is thewebsite.
If they want to reach out, we'dbe more than happy to either,
obviously, they could use theplatform or we'd be happy to
answer any questions coacheshave about some of this stuff,
for sure.
Speaker 1 (33:55):
Now, are those available currently for coaches?
Are you still in theexperimenting?
Speaker 2 (34:00):
I would say we're in a beta phase.
We are open to new coachescoming onto the platform.
At this point it would be on atthis point.
Just reach out to us and we'llget you on the platform.
We don't have an automated wayto getting coaches in.
It's intentional.
We want to make sure that thetools that we're putting out
there are vetted.
We want to make sure thefeatures work.
(34:22):
For all the reasons that youand I have discussed about
ethics and different things.
We want to take that slow.
If anyone's interested, Ibelieve my contact information
would be in this in here, coreyat Cummings Solutions, or just
come to our website, cummingsSolutions, and we have a form
(34:42):
you could fill out.
We can get in contact with you.
Speaker 1 (34:45):
Are you on LinkedIn?
Can people reach out to you onLinkedIn?
Speaker 2 (34:48):
Yes, absolutely.
I think it's J Corey Cummingsor something like that.
Speaker 1 (34:55):
Awesome.
Well, mr Corey Cummings, yourwealth of information.
I appreciate you.
I appreciate everything thatyou brought to this conversation
around AI, around technology.
My hope here is that somebodywho was tuning in might reach
out and try something and beable to not be so nervous about
(35:17):
stepping into AI, because thetruth is, a lot of the things
that people are already using isAI.
They just don't realize that.
Right, correct.
Is there any last words?
Any last words from you You'dlike to leave us?
I mean?
Speaker 2 (35:33):
it's just really exciting.
You know, if you let it be,this could be a really exciting
time for your coaching practice.
You know this is not bad.
You know these are goodproblems to have.
So I would just encourage youto step into it.
You know fear is never a gooddriver.
Okay, let's deal with reality,that's fine.
(35:55):
Put boundaries around it.
Let's really lean into thisthing.
I think it can really catapultthe coaching industry further if
we let it.
So I just encourage you to trysome things.
Have fun doing it, that's right.
Speaker 1 (36:09):
All right, well, until next time, you keep doing
great things and we'll see yousoon.
Speaker 2 (36:13):
Thanks for having me.
Speaker 1 (36:14):
Take care, bye-bye.
Welcome to Conversations where today we
have Mr Corey Cummings, anentrepreneur and coach.
He is CEO of Cummings Solution,which works with individuals
and organizations to identifyand realize their full potential
.
His team also works withorganizations to solve complex
problems through customtechnology solutions.
(00:21):
For all you.
Strengths, enthusiasts, Coreyleads with Activator, Futuristic
Ideation, Command andSelf-Assurance.
Welcome to the show, Corey.
How are you today?
Speaker 2 (00:33):
Great Thanks for having me.
Speaker 1 (00:34):
Absolutely.
Where in the world are youcoming from today?
Speaker 2 (00:39):
North Carolina.
Right in the middle of NorthCarolina it's a little small
town called Liberty, I think.
Speaker 1 (00:43):
We have three stop lights now, so we're growing a
little bit, so yeah, so right inthe middle of North Carolina,
so today we're talking aboutartificial intelligence and I
have been trying to understandthat a little more and I know
for you as a technologist and acoach, you probably have it more
figured out than me, so I'mjust learning about it and
(01:06):
really going to be leaning inhere and trying to have you
explain to me, as well as thelisteners, a little bit more
about the space that it seemslike is top of mind for people,
and part of that is that we'reconfused, right.
Speaker 2 (01:25):
Well, I think with coaching there's a real, a very
real human aspect that needs togo into coaching, right.
So when you're working with aclient, you're asking powerful
questions, yeah, you're goingthrough and helping them maybe
understand, through assessments,some of their own personalities
, their own strengths, thosetypes of things.
(01:46):
What's scary about AI is thatyou could ask the AI tell me
this person's strengths and howdoes that apply to this person?
So a lot of that analysis thatwe're doing manually my word
manually there AI can do for you, right.
(02:06):
So the fear is okay.
If AI can do these things, ifAI could ask questions
contextualized, then why do youneed a coach?
So it's the same idea of lookat McDonald's when they had the
boards come out you could orderon the board.
Cashiers were intimidatedbecause what about us?
(02:30):
So what does that do for us?
So I think that's kind of if Ihad to kind of guess and look
into.
Maybe causing some of that fearis where does the coaching
profession go in the age of AI?
Right, and then individually,there's for certain coaching
task, the reality is an AI coulddo it better.
(02:52):
So analyzing, for example, aClifton Strengths assessment
would be a great example.
You've been doing that foryears, but for some of us that
haven't been doing that quite aslong, being able to upload a
Clifton Strength profile andthen just ask questions about it
(03:14):
, right, help have the AI kindof almost use a work-esure
calculator to go and just reallycontextualize some of these
things and give you someinsights into a person based on
a certain assessment.
Yes, it's scary, but it's alsopowerful.
You look at mathematicians whenthe calculator came out right.
It's a very similar concept andI think it's exciting, but it
(03:39):
could also be intimidating ifyou let it.
Speaker 1 (03:44):
Yeah, I think when I think about it, I think about AI
as more partnering with me tofor those tasks.
Now there's a difference whenwe start bringing into AI into
the coaching conversationwhether it be apart from us,
maybe in between sessions orsomething like that that to me,
(04:08):
I get a little frantic about it.
It's like I won't knownecessarily how that's going, or
will I.
Do you happen to know anythingabout that?
Speaker 2 (04:18):
I think the question is regarding AI replacing a
coach in a coaching session.
Did I understand the questioncorrectly?
Speaker 1 (04:26):
Yeah, so what I've heard of is these chatbots.
If you deploy these, so it's inbetween sessions I may show up
and have a great session withyou, and in between I may have a
chatbot that then maybe takesover for the next few weeks
until I see you again.
Speaker 2 (04:46):
Okay, I understand what you're saying.
I think there's some power inthat, particularly if you're
working with a client onachieving certain goals.
Just say, for example, that wehave a coaching session and out
of that session the client comesup with a.
You work with them, they comeup with a plan to go and make it
(05:07):
up, unless you're what thething is.
But we have a four-step processwe're going to go through
together.
Some of the value I can see isin the automation and
particularly with AI.
If AI knows about that plan,being able to text them
encouraging messages along theway, being able to check in with
them when they haven't have youdone your devotionals today?
(05:28):
We have a goal of creating aconsistent habit of 30-minute
devotionals every day.
Having that checkup in betweenthat, frankly, I forget to do I
think is a powerful tool.
I wouldn't be intimidated bythat.
Now.
What I wouldn't appreciate ifthe AI then tries to do a
(05:50):
coaching with the client, right,I think that crosses a
different line, particularlywhen you're not in control of it
or you're not aware of thosethings happening.
But I think, as long as you cankind of understand what's going
on, what the AI tasks are, itcan be helpful.
Speaker 1 (06:10):
Yeah, I think coaches still need to have their finger
on the pulse of things withtheir clients for sure.
Speaker 2 (06:20):
Sure, and then just looking at things like you know,
if I'm coaching it with aclient and we're working on
self-awareness right, so we doan EQ assessment and we realize
there's a challenge here.
You know there are apps outthere now that you could
actually record.
How am I feeling today?
You know you go from greensmiley to red mad face, right,
(06:44):
and you click a button.
Or if I'm, throughout the day,start feeling upset or I have
some type of emotional responsethat to something that doesn't
feel right, I can record that Iclick the button on the app.
Why am I feeling this way?
I feel blank because blank,right.
So we're kind of recording thisand what you could do with that
(07:06):
data and with AI is if thatdata is being saved like
somewhere where the coach andthe client can collaborate on
that data, right.
So we're looking at over thepast three weeks.
I'm seeing a lot of red faces at3pm on Tuesdays, right, and
that's where me looking at thedata.
First you got to be able tocollect the data, but then me
(07:28):
eyeballing the data and tryingto pull information out of it
and I feed that data anonymously.
Obviously we want to protectpeople's identities, but, hey, I
have a client who has, you knowthis, these patterns of you
know reporting how they'refeeling, help me find some, make
some sense of that.
And that's where AI could comein and say, hey, this person on
(07:51):
Tuesdays at 3 o'clock is a lotof orange faces, right.
So now that creates a coachingmoment for the coach to go in
and say, okay, let's talk aboutthat, let's talk about that 3
o'clock.
Oh, I get this when I get myemails from my clients about
this project update, right, sowe can dig a little bit deeper
into some of that.
So I'm not sure if thatnecessarily answers the question
(08:14):
, but when you, when you look atkind of being able to have that
tool set that says, hey, I'mcollecting data so that I can
help move my client from point Ato point B, right, and then
being able to have the AIcontextualize some of that so
that my mind doesn't I can'tlook at data and very easily
pull patterns out of it, but anAI can.
Speaker 1 (08:37):
How do you think coaches can get more comfortable
using tools like this?
Speaker 2 (08:42):
I think you got to try them right.
I mean, for example, you know Ican share a few here just on my
screen, so just I can.
There's a couple that are veryeasy to go and play with.
Can you see my screen?
Speaker 1 (08:57):
Here it can.
Speaker 2 (08:59):
Here's a tool right now is tied in with chat GPT,
it's called askyourpdfcom.
Right, you would go in, youcreate an account and you can
actually upload documents tothat site, right, askyourpdfcom?
So what I've done?
If you're looking at my screenfor those of you that are I've
uploaded several differentdocuments my CliftonStrengths
(09:23):
document, spiritual giftsassessment and so forth.
So if I were to go in and justclick new conversation within
this context, I can actuallyhave a conversation about this
document with an AI.
So you know what are thisclient's top strengths and then
(09:53):
it's like a chatbot, right?
So as it goes in, it reads thedocument and it tells me the
strengths, where it got theinformation and then you know,
based on this, what are somethings I should be aware of when
setting goals with this client,right?
(10:28):
So it's just so the footagethat can't see the screen.
I asked the question.
Basically, this is aCliftonStrengths results.
I asked it to look at theresult, read the document for me
and, based on the top strengths, give me some things I need to
keep in mind.
How can I help them meet theirgoals by leaning into those
(10:48):
strengths?
And you're seeing the screen.
For those that aren't, it's topthree.
Number one leverage theirpositivity.
Number two engage theirintellect.
Number three tap into theirinput.
Number four recognize theirdeveloper talent.
So by using these strengths, ifI'm working with this client,
you know this particular tool,this particular AI, was able to
(11:13):
very quickly help me pull somestrategies together that I can
apply in my coaching sessions.
If you take this a step further, I'm not going to go too deep
into it, but let's say that Iwanted to say, okay, I have
CliftonStrengths, but I also hadthe Emotional Intelligence 2.0,
and I have a spiritual giftsassessment.
(11:34):
Each of these documents have anID that you can actually use
within chat, gpt.
You can say hey, based on thesethree assessments, give me some
deeper insights into thisperson.
So that's just kind of wheresome of these can tie together
to be able to provide you moreinformation and contextualize
(11:58):
information so that you could goout and potentially do a better
job coaching.
Speaker 1 (12:03):
Yeah, that's amazing.
So that leads me to now thatI'm seeing that.
How do you know whichtechnology which is best for you
to use?
Meaning, if we're talking aboutthe developers behind it, I
mean, it would be like a shot inthe dark for me to go on and
say, okay, I'm going to try thisone.
(12:24):
Do you have any?
Speaker 2 (12:26):
Yeah.
So one thing I would say is,you know, whenever you're
working with technologydatabases, you really want to
understand their privacypolicies.
So, if I'm going well, don'tshare your client's information
in any of this.
If you're going to share anassessment, be sure it's
anonymized, those types ofthings.
(12:46):
So there's that.
But then also, you want to kindof look at how they're getting
their data.
So, for example, chat GPT it'sa Wild Wild West, right.
I can go to the chat GPT, ask ita question and it's going to
find the first answer it comesto and give you a really great
sounding answer.
But it may be completely wrong,right?
So what you don't want to do islean on chat GPT to do certain
(13:11):
things for you and then justassume that it's right, right,
so you're going to have tovalidate that information.
One thing that's been superuseful for me when it comes to
academic research, as an example, is chat GPT.
They have a plugin calledScholar AI.
So basically what it is, I canactually kind of show you on the
screen here.
So if I actually do scholar AI,it actually ties into academic
(13:43):
databases multiple of them,right?
So let's say that you know,please provide me.
I'm asking chat GPT here.
Please provide me with fiverecent academic sources that
discuss increasingself-awareness Right.
(14:06):
So we're trying to help aclient do this by using chat GPT
alongside the scholar AIplug-in.
Speaker 1 (14:19):
Thinking.
Speaker 2 (14:23):
So you see it's using scholar AI.
So now what it's actually doingis it's going and searching
that academic database, justlike you would if you had access
to your university's database,and so forth.
So now it's finding severalarticles about increasing your
(14:43):
self-awareness.
You can go take out thosearticles.
It gives you an abstract right.
So I'm just for the sake oftime, I can stop this thing and
say, based on the sources youare finding, create a five-step
(15:06):
process for increasingself-awareness.
Speaker 1 (15:18):
Certainly.
Speaker 2 (15:19):
it says Yep, so here's, a.
Speaker 1 (15:21):
Of course I will Right.
Speaker 2 (15:25):
So it gives you just a nice outline of some ways that
we can work with our clients,potentially based on the
academic research that existstoday.
How to go and help you, how togo and do this.
So, just for those can't see it, the steps it came up with is
engage in perspective talking.
Participate in reflectiveactivities.
Increase knowledge on globalissues, self-assessment and
(15:48):
feedback.
Engage in collaborativeactivities.
Now, you may hate some of these, you may love some of these,
you can reorganize and so forth.
So, going back to the questionwhich tools, I think chatGPT is
a good one to start with.
Look at some of their plugins,like ScholarAI.
There are others, like Ask yourPDF.
(16:09):
I think those types of toolsare probably a good starting
point, but they're literallytens, thousands, hundreds of
thousands of startups right nowtrying to leverage UI for this,
this or that.
So I think that when you try toget in too many of those things
, I think it gets kind ofdangerous.
(16:29):
So I would stick today withchatGPT, chatgpt plugins, and
then maybe, as time goes on,some of these tools get more
proven.
You could kind of dip into someof those.
Speaker 1 (16:41):
Now with chatGPT, I saw that you were using as at
the 4.5 or 4.0.
It's not the free version, it'sthe paid, correct.
Speaker 2 (16:52):
Yeah.
So the free version gives yousome very good answers, but the
paid version introduced thisplugin, which I think is a game
changer.
So you have third parties.
If you pay, it's like $10 amonth.
It's not super expensive, butif you pay for that, you get
access to third party plugins.
So ScholarAI being probably myfavorite plugin that can
(17:16):
actually tie your chatGPTsession to real-time data, which
is where chatGPT3 doesn't havethat.
So it's basically the knowledgecutoff of chatGPT3 is somewhere
in 2021, I think it is.
So now you're dealing with mostrecent two or three-year-old
(17:38):
data, whereas with these plugins, I could go get articles from
2023 that were written andpublished yesterday.
So that's the value that payingfor the upgraded version gives
you.
Scholarai is just one they have, like Expedia has one.
There are so many different.
I looked the other day.
I think there were like 40pages worth of plugins.
(18:00):
You can tie all this power andcontextualization into real-time
data, so that's really a bigopportunity here.
Speaker 1 (18:11):
Now would you still suggest people kind of validate
what it's saying, like it gaveyou that article.
Do you just trust that thatarticle is in fact a live
article wherever it?
Speaker 2 (18:25):
I mean I don't.
So what I do?
I'm a doctoral student at RegieUniversity, so what I do is
anything that chatGPT gives me.
I look it up in that database,so I kind of have another tab
open that I would then paste theinformation that I would
actually go into the article bymyself.
Make sure you validate.
99.9% of the time, though, it'scorrect.
(18:48):
So whenever you're using theseplugins now, chatgpt3 will just
make stuff up.
It'll create references.
That looks right, uses realauthors, the name looks like it
probably could be a thing, andthen you go look it up but it
doesn't exist anywhere.
So it's always good to validatethat.
(19:12):
Hey, this information is comingin is real.
I have found that again usingvery specific chatGPT4 with
scholar AI.
99% of the time it is that'scorrect.
Speaker 1 (19:29):
It's good.
It's good and I'm glad to hearthat you validate.
Thank you.
So we did talk about so.
With the free version of chatGPT, that information is already
old.
So when we take a look at,let's say, five years down the
road, what are things going tolook like from your view?
Speaker 2 (19:51):
Well, I think it's just going to get better.
I mean, you look at the pace atwhich what chat GPT has been
around a year as far as beingavailable to the public.
You look at the pace at whichit's changing things.
I think that accelerates overthe next few years.
I think what we're also goingto see is potentially
(20:12):
legislation that limits the useof AI, limits its applications.
I don't think you put the genieback in the bottle.
I think we're past that point.
You look at even academicintegrity, just like that where
you have.
How do professors help theirstudents learn and identify
(20:40):
cheating?
That's a big problem, I'm sure,right now in the academic world
.
I don't know the answer to that, but it's not going away.
So I think some mindsets aregoing to have to change.
How do we better help ourstudents learn, for example, in
academia or in coaching, inannually looking at assessments
(21:01):
and trying to figure out andcontextualize data.
It's going to be like doingmath by hand, so it's being able
to, five years from now,thinking coaching.
You have all these differenttools.
The thing is going to beoverwhelming the number of tools
that are out there and, frankly, the coaches that are going to
do well, five years from now,are the ones that are exploring
(21:24):
and experimenting today.
What's out there?
How does that look?
How does that apply to me?
How do we maintain ethics andmaintain integrity as a coach
and use the tools?
I don't think those answers areout there right now.
I think those are the questionsbeing asked, but I think that
five years from now, thegroundwork that we're doing now
(21:47):
to put some of those boundariesaround AI are going to be
critical, because there's notelling where it could be five
years from now.
Speaker 1 (21:56):
Yeah, and you did mention ethics.
So let's go there.
When we talk about technologyand ethics and coaching and
ethics, and it seems like it'sjust like you use the word wild,
wild west and that's what itseems to be.
So when you're thinking aboutartificial intelligence and
ethics, what kind of bubbles upfor you in that arena?
Speaker 2 (22:19):
Well, yeah, ai is amoral, right, it's not good,
it's not bad.
So I think the same criteria weuse today for ethics has to
apply to everything that you dowithin AI.
I think there's also a realitythat it's going to be a need for
personal ethics, being able tocreate a, even write it out.
(22:44):
What are my personal ethicsaround coaching?
It's going to become harder andharder to differentiate between
humans and robots and AIs.
I shouldn't use the term robotYou'd think of Terminator but
it's going to be harder todifferentiate between human and
AI.
So I think one is eternalizing.
(23:05):
What is my ethical code?
What is my personal code ofethics?
And then, specifically withincoaching, some of these coaching
organizations.
I'll talk about them in thenext few minutes.
I can't think of them.
I should be able to, but thesecoaching organizations that are
providing credentials, providingtraining, they need to be right
(23:27):
now.
I'm sure they are creating.
What are our code of ethicsaround AI, the use of AI?
It can't be so limiting thatyou don't take advantage of the
technology, right, but then itcan't be so free that it
continues to be the Wild WildWest.
So I guess the way I wouldanswer that question is twofold.
One is the personal code ofethics, internalizing that as a
(23:51):
coach.
And then two is trying to getahead of this thing now as
organizations, coachingorganizations that says here is
our stance on AI, what we willdo, what we won't do.
Speaker 1 (24:06):
And I also think that those codes and Bellarm is
going to be ours is coming outwithin the next week and I think
it's a work in progress.
I think it's something that, aswe learn more and as AI
develops, and as coaches,consultants, whatever industry
(24:28):
you end up in, I think that, astime goes on, we're going to be
finding out.
I mean, as a Christian, I knowwhat my ethics, I have Christian
ethics and that's my guidinglight.
Those are my boundaries andwhatnot.
But I think that, as time goeson, I think verbiage is going to
(24:49):
be different.
I think questions are going tobe answered as we start diving
in and start utilizing thesetools and having those aha
moments, and how can we thenpoint it back to ethics, whether
we are going to either beutilizing this or not, and for
what reasons?
Speaker 2 (25:08):
Yeah, and I think that that's another reason to
not be so scared of this stuffis to really start digging in,
because we want ethical peopletrying the stuff out, right?
So if you're afraid to get inthere and play with it and try
it, experiment, then you don'teven know the right questions to
ask, right, and that's what Iwould encourage practitioners,
(25:30):
scholars, get in there, playwith this stuff, figure out
where it's going wrong so thatwe can build those boundaries
around it.
But you can't do that if youdon't touch it, if you just
scared of it and don't get intoit.
So, yeah, yeah.
Speaker 1 (25:46):
And you did note about when we talked about how
do we know what tools are bestand you did mention chat, gpt
and whatnot and to look at theprivacy.
So, when, if I were to look ata tool and look at their privacy
, what might be something thatwould stand out to me that I
(26:08):
would say, yes, this issomething that perhaps I could
use and feel good about it.
Speaker 2 (26:14):
Yeah, one of the things is, you know, with chat
GPT there's a private mode thatyou can go into, because,
basically, chat GPT the way chatGPT works is it actually all
the data that you put into it,all the inputs you put into it,
become part of this library,Right?
So it's as you're interactingwith it.
It's continuing to learn andget smarter, right?
(26:36):
But there may be someinformation that you don't want
out there as part of the publicdomain.
Maybe it's proprietaryinformation that you want it to
help you analyze those types ofthings.
So chat GPT has a mode that youcan put it in where it doesn't
actually share that data withthe wide world, right?
(26:58):
So that's very important andthey have it.
I forget exactly how you get toit, but they have documentation
on what that looks like.
If you don't within the privacypolicy, if they don't have a
data retention or a data sharingpolicy, then they could be
selling that data, right,because you data mining it, you
know taking those prompts andselling it.
I think that it might be okayin certain dynamics, but
(27:21):
particularly in a coachingrelationship with a like if you
don't want that, right?
So I think that's privacypolicies is probably one of the
biggest concerns that I haveBeyond that.
I mean you can kind of get intothem and not all these
companies have documentationlike this but how do you get
your data?
How do you?
You know where do you sourceyour data.
(27:41):
You know chat, gpt one of thecomplaints that early on and
still, frankly, some still anissue today is kind of the first
data it comes to.
You know what I mean.
It assumes that's the correctdata.
So you know, as AI gets better,you want to kind of look for
things like hey, how manysources are you looking at
before you answer this question?
(28:01):
You know those types of things.
So privacy policy, where theysource their data and then also
how they share the data.
Speaker 1 (28:14):
That's a lot and I feel like people just click a
button and you know they're notlooking at these things.
It's just well this looks cool.
This looks like it'll work, orthis looks like, whatever it is,
and I guess that's my it's nota fear, but it's when I think
(28:35):
about the information that it'sgathering, even if it's wrong,
information that the chat GPTsof the world is gathering to
then send out to people, if it'slearning from what their input.
Speaker 2 (28:49):
Then a lot of people are going to believe wrong
information.
I mean, you know, I think thethere are a lot of people that
will just buy whatever they see.
But I think it's up to us to bewiser than that.
Right, meaning that everythingthat comes out of these AI tools
right, at least right now itneeds to be validated.
(29:12):
It needs to.
You know.
It can't replace, you know,research, it can't replace
ethics, right?
So I think it's just beingaware of it now, use it, but
then take everything with agrain of salt.
I think that's how you getthrough the next five years.
Now, I have no clue, five yearsfrom now, what all this looks
like, but it's going to beharder, even harder then.
(29:35):
So the reality is, there's noway around it.
People are going to be fooledby this stuff Bad data they're
just going to swallow it, and sowe got to help them understand
and see.
Okay, I understand that you gotthis from here, but doesn't
necessarily mean that it's realor true.
Here's what is.
Speaker 1 (29:55):
Yes, A lot to know, a lot to learn.
What do you say about?
You know on social media thatthere's, you know, pay whatever,
or it's a free course or a paidcourse.
What do you see out there thatwhere people should go?
(30:15):
I mean, should they come to you?
Speaker 2 (30:18):
As far as like with learning AI.
I mean there's so much outthere I don't even know the
right places to tell you to go.
There are a lot of good sitesout there that have been around
for a while, that have taughtother technologies.
I can't think of you off thetop of my head, but what I would
say is there's a brand new siteout there that's trying to
teach you about AI.
(30:39):
They want you to pay $500.
Let's stay away from that.
But if there are sites outthere that have been teaching
technology tools for the last 20years, a plural site comes to
mind as a good place that, hey,they're not just putting a
website up, they have a trackrecord of teaching, yet they
(30:59):
have courses that are reviewedby real reviewers that you can
get into and start learning alittle bit about AI, about
machine learning.
That's a good place.
I will put a shameless plughere a little bit.
I mean.
So I'm working on software nowfor coaches and one of the key
things that I'm working on doingis integrating certain aspects
(31:20):
of AI into our platform.
So, just as an example of atool that we have, we use disk
driving forces and EQ for kindof our three main assessment
bases, if you will.
So one of the things that we'vebuilt into our tool is the
(31:40):
ability for me, as a high D typeA activator, to be able to
write an email in my voice how Iwould say it, and then click a
button and it'll actually changethat wording of that email to
make it more palatable foranother personality.
(32:02):
So this is an example that thetools that we're working with
coaches on that's availablewould be available.
Other things is being able tolook at two personalities and
look at where the conflicts, notjust a generalized.
Well, this type of person, Okay, based on a broader
(32:23):
understanding of who I am and abroader understanding of who
they are.
If I am trying to communicatesomething clearly to them in
this context, what's mychecklist?
What are the three, four thingsI need to remember in that
conversation?
So those are the types ofthings that we're trying to
empower coaches with technologybut then also put a lot of
(32:45):
guardrails around that we haveto put a little flag next to
some of these features and say,hey, this is experimental,
Please validate some of thisinformation, et cetera.
But we're getting a lot ofpositive feedback, especially
for people like me who, at mypatient's level is not always
the highest, being able toreally get summarized, my
(33:09):
patient's tolerance is not superhigh, but I value accuracy and
I value competence.
So there are these two parts ofmyself that are always kind of
battling within myself, but thisgives me the ability when I'm
coaching especially if I haveany type of assessments to be
able to get those key pointsfrom this 70-page document, all
(33:34):
of which matters.
So, yeah, that's something thatyou can reach out to us.
Cummings Solutions is thewebsite.
If they want to reach out, we'dbe more than happy to either,
obviously, they could use theplatform or we'd be happy to
answer any questions coacheshave about some of this stuff,
for sure.
Speaker 1 (33:55):
Now, are those available currently for coaches?
Are you still in theexperimenting?
Speaker 2 (34:00):
I would say we're in a beta phase.
We are open to new coachescoming onto the platform.
At this point it would be on atthis point.
Just reach out to us and we'llget you on the platform.
We don't have an automated wayto getting coaches in.
It's intentional.
We want to make sure that thetools that we're putting out
there are vetted.
We want to make sure thefeatures work.
(34:22):
For all the reasons that youand I have discussed about
ethics and different things.
We want to take that slow.
If anyone's interested, Ibelieve my contact information
would be in this in here, coreyat Cummings Solutions, or just
come to our website, cummingsSolutions, and we have a form
(34:42):
you could fill out.
We can get in contact with you.
Speaker 1 (34:45):
Are you on LinkedIn?
Can people reach out to you onLinkedIn?
Speaker 2 (34:48):
Yes, absolutely.
I think it's J Corey Cummingsor something like that.
Speaker 1 (34:55):
Awesome.
Well, mr Corey Cummings, yourwealth of information.
I appreciate you.
I appreciate everything thatyou brought to this conversation
around AI, around technology.
My hope here is that somebodywho was tuning in might reach
out and try something and beable to not be so nervous about
(35:17):
stepping into AI, because thetruth is, a lot of the things
that people are already using isAI.
They just don't realize that.
Right, correct.
Is there any last words?
Any last words from you You'dlike to leave us?
I mean?
Speaker 2 (35:33):
it's just really exciting.
You know, if you let it be,this could be a really exciting
time for your coaching practice.
You know this is not bad.
You know these are goodproblems to have.
So I would just encourage youto step into it.
You know fear is never a gooddriver.
Okay, let's deal with reality,that's fine.
(35:55):
Put boundaries around it.
Let's really lean into thisthing.
I think it can really catapultthe coaching industry further if
we let it.
So I just encourage you to trysome things.
Have fun doing it, that's right.
Speaker 1 (36:09):
All right, well, until next time, you keep doing
great things and we'll see yousoon.
Speaker 2 (36:13):
Thanks for having me.
Speaker 1 (36:14):
Take care, bye-bye.
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