The Radical AI Podcast

The Radical AI Podcast

Radical people. Radical ideas. Radical Stories. Welcome to the future of Artificial Intelligence Ethics. Welcome to the Radical AI Podcast.


August 9, 2023 21 mins

The Radical AI Podcast has unfortunately reached its end. In this episode, Dylan and Jess say goodbye to the podcast and thank you listeners for your unwavering support throughout the years. 

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In this episode, we interview Dr. Jonathan Flowers about Twitter vs. Mastodon 101, the power dynamics of the fediverse, and potential paths forward in our digital lives.


Johnathan Flowers is an Assistant Professor of Philosophy at California State University, Northridge. His research areas include African American intellectual history, Japanese Aesthetics, American Pragmatism, Philosophy of Disability, and Philosophy of Technolog...

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In this episode, we discuss Meredith Broussard's influential new book, More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech – published by MIT Press.


Meredith is a data journalist, an associate professor at the Arthur L. Carter Journalism Institute of New York University, a research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “More Than a Glitch” (whic...

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In this episode, we unpack: is ChatGPT Ethical? In what ways? 


We interview Dr. Emily M. Bender and Dr. Casey Fiesler about the limitations of ChatGPT – we cover ethical considerations, bias and discrimination, and the importance of algorithmic literacy in the face of chatbots.


Emily M. Bender is a Professor of Linguistics and an Adjunct Professor in the School of Computer Science and the Information School at the University ...

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ChatGPT – what is it? How does it work? Should we be excited? Or scared?

The recent natural language chatbot has been getting ALL the hype. In this episode we interview Deep Dhillon about the ins and outs of ChatGPT!

Deep is the co-founder and leader of technology development at Xyonix, where his mission is to find novel value in clients' data. Deep has experience as a technology executive; conceptualizing, architecting and deployi...

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What can our senses teach us about data? What can data teach us about our senses? 


In this episode, we interview Jordan Wirfs-Brock about how we can explore data through all of our senses, especially through the sense of sound.


Jordan Wirfs-Brock recently completed a PhD in Information Science at the University of Colorado Boulder and will be joining Whitman College as an assistant professor in Computer Science in January. Her ...

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October 26, 2022 51 mins

How can technology be designed to fight online abuse and harassment? What is the difference between cancel culture and appropriate accountability? How can you stay safe online?



In this episode we interview Seyi Akiwowo to discuss her newly released book: How to Stay Safe Online: A digital self-care toolkit for developing resilience and allyship.



Seyi is the founder and CEO of Glitch, a charity that’s been on a mission to en...

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What is the reality of data privacy after the overruling of Roe v. Wade? 


In this episode, we interview Rebecca Finlay about protecting user data privacy and human rights, following the US Supreme Court ruling of Dobbs v. Jackson Women’s Health Organization. 


Rebecca Finlay is the CEO of the non-profit, Partnership on AI overseeing the organization’s mission and strategy. In this role, Rebecca ensures that the Partnership on AI...

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August 31, 2022 59 mins

What is Digital Lethargy?  How can we adapt to an age of disconnection? How can art act as a force of resistance? 


In this episode we interview Tung-Hui Hu about digital exhaustion in the modern day, and his new upcoming book from MIT Press: “Digital Lethargy: Dispatches from an Age of Disconnection.”


Tung-Hui is an associate professor of English at the University of Michigan and the author of A Prehistory of the Cloud from MIT...

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How does the government use algorithms? How do algorithms impact social services, policing, and other social services? And where does Silicon Valley fit in?


In this episode we interview Shion Guha about how governments adopt algorithms to enforce public policy.


Shion is an Assistant Professor in the Faculty of Information at University of Toronto. His research fits into the field of Human-Centered Data Science, which he helped ...

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In this episode we have a panel discussion about decolonial digital mental health with three leading experts on the topic: Sachin Pendse, Munmun De Choudhury, and Neha Kumar


Sachin is a PhD student in Human-Centered Computing at Georgia Tech, researching the role that technology plays in addressing barriers that prevent people from receiving consistent mental health care.


Munmun is the Associate Professor in the School of Inter...

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How do we see ourselves in data? What is self-tracking and how can we design for visualizing the data of our bodies and mental health? How do we make visualized data more accessible? 


In this episode, we interview Jaime Snyder about the data visualization of COVID, mental health, and more. 


Jaime Snyder is an Associate Professor in the Information School at the University of Washington in Seattle. She leads the Visualization St...

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What is the history of digital pornography? How do algorithms perpetuate LGBTQIA+ content censorship? What is the role that content moderation and corporate ownership plays in perpetuating misogyny and heteronormativity?


In this episode, we interview Alex Monea about the history of digital pornography and LGBTQIA+ content censorship. We also discuss his new book published by MIT Press: "The Digital Closet: How the Internet Became...

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Curious about where we've been and where we're going? Listen to this minisode! Dylan and Jess discuss the podcast, the new season, and much more! 

Full show notes for this episode can be found at

If you enjoy this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at


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In this 7th episode of Measurementality we'll be "identifying what counts in the algorithmic age" by exploring how AI development can better engage with governance and privacy with Sara Jordan and Anand Rao

Sara Jordan is Senior Researcher, Artificial Intelligence and Ethics at the Future of Privacy Forum

Anand Rao is a Principal with PwC’s US Advisory practice

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December 8, 2021 41 mins

What is Decolonial AI? How can we apply a postcolonial lens to AI design?

In this episode we interview Raziye Buse Çetin about Colonial, Decolonial, and Postcolonial AI -- and the Newly released Decolonial AI Manyfesto.

Buse is an AI policy and ethics researcher and consultant. Her work revolves around ethics, impact, and governance of AI systems. She combines her lived experience with her interest in postcolonial studies, intersec...

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What is Design Justice? How can we employ it to disrupt power systems supporting the matrix of domination?

In this episode, we interview Sasha Costanza-Chock about the 101 of Design Justice and how we can use it as a force for collective liberation.

Sasha Costanza-Chock is a researcher and designer who works to support community-led processes that build shared power, dismantle the matrix of domination, and advance ecological surviv...

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 what causes AI to fail from a business/industry perspective and beyond? What metrics are used to measure and indicate failure? And how can we improve the field of AI by learning from these failures? 

To answer these questions we interview Kathleen Walch and Ron Schmelzer of Cognilytica’s AI Today podcast.

Ron and Kathleen are both principal analysts, managing partners and founders of Cognilytica. Cognilytica is a research, adviso...

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In this 6th episode of Measurementality we'll be "identifying what counts in the algorithmic age" by analyzing how we can build more authentic systems of accountability for creating AI with Yoav Schlesinger.

Yoav Schlesinger is the Principal of Ethical AI Practice for Salesforce.


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How is AI used to predict mental illness? What are the benefits and challenges to its use?

In this episode we interview Stevie Chancellor about AI, mental health, and the benefits and challenges of machine learning systems that are used to predict mental illness. 

Stevie Chancellor is an Assistant Professor in the Department of Computer Science & Engineering at the University of Minnesota - Twin Cities. Her research combines human-...

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