91 episodes

Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.

The Radical AI Podcast Radical AI

    • Technology
    • 4.9 • 50 Ratings

Radical AI is a podcast centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate regarding the field of Artificial Intelligence Ethics and the relationship between the humanities and machine learning.

    Stay Radical: A Final Goodbye from Dylan and Jess

    Stay Radical: A Final Goodbye from Dylan and Jess

    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. 

    • 21 min
    Twitter vs. Mastodon with Johnathan Flowers

    Twitter vs. Mastodon with Johnathan Flowers

    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 Technology. Johnathan also works in the area of Science and Technology Studies, where he applies insights from American Pragmatism, Philosophy of Race, and Disability Studies to current issues in human/computer interaction, artificial intelligence and machine learning. 
     
    Full show notes for this episode can be found at Radicalai.org.
     

    • 1 hr 11 min
    More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard

    More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard

    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” (which we cover in this episode) and “Artificial Unintelligence: How Computers Misunderstand the World.” Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good.
     
     
    Full show notes for this episode, including the link to buy Meredith's new book, can be found at Radicalai.org.

    • 1 hr 4 min
    The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler

    The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler

    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 of Washington, where she has been on the faculty since 2003. Her research interests include multilingual grammar engineering, computational semantics, and the societal impacts of language technology. Emily was also recently nominated as a Fellow of the American Association for the Advancement of Science (AAAS).
     
     
    Casey Fiesler is an associate professor in Information Science at University of Colorado Boulder. She researches and teaches in the areas of technology ethics, internet law and policy, and online communities. Also a public scholar, she is a frequent commentator and speaker on topics of technology ethics and policy, and her research has been covered everywhere from The New York Times to Teen Vogue.
     
    Full show notes for this episode can be found at Radicalai.org.

    • 1 hr 2 min
    ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon

    ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon

    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 deploying advanced applications, leveraging machine learning, natural language processing and data science to build smarter businesses and more powerful products.
    Full show notes for this episode can be found at Radicalai.org.
     

    • 57 min
    Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock

    Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock

    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 research explores how to bring data into our everyday lives as a creative material by developing data representations that are participatory and engage all of our senses, especially sound. In the past, she has worked as a data journalist covering the energy industry and as a civic technologist helping non-profit organizations understand their communities through data.
     
    Full show notes for this episode can be found at Radicalai.org.
     

    • 52 min

Customer Reviews

4.9 out of 5
50 Ratings

50 Ratings

zarazen ,

A fantastic resource to understand the complexity behind the sound bites

My route into this topic was Race After Technology by Dr Ruha Benjamin and then Weapons of Math Destruction by Cathy O’Neil. What I love about the Radical AI Podcast is that it goes broad and deep into the issues and yet somehow manages to do so in a way that I can understand. I work in tech but I’m not an engineer. When the media is missing the point about things like Chat GPT, I come here to get the rest of the story. And I really value all of the diverse voices this show amplifies. Thank you!

Aud // rey ,

One of the best AI podcasts ever.

I'm generally pretty wary of AI "ethics" because the discourse is so heavily skewed towards technocratic notions of "fairness" and "transparency" and often centers white men. I also guard my podcast feed against shows I'll never listen to. The Radical AI Podcast was a risk for both of these reasons, but definitely worth it.

They know what's up – they focus on critical discussions that need to happen in this space, and interview folks who are truly doing cutting-edge research in AI – and don't focus solely on the technical aspects or overly-optimistic projections of "how AI will save us." Jess and Dylan ask thought-provoking questions and do what every good interviewer should – know when to take up space and when *not* to.

It's a good podcast. You should listen to it.

Chambana ,

Highly recommend!

Timely topics with leading experts. Will definitely assign to students in my classes!

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