The Radical AI Podcast
A podcast by Radical AI
91 Episoade
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Stay Radical: A Final Goodbye from Dylan and Jess
Publicat: 09.08.2023 -
Twitter vs. Mastodon with Johnathan Flowers
Publicat: 26.04.2023 -
More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard
Publicat: 22.03.2023 -
The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler
Publicat: 01.03.2023 -
ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon
Publicat: 25.01.2023 -
Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock
Publicat: 30.11.2022 -
How to Stay Safe Online with Seyi Akiwowo
Publicat: 26.10.2022 -
Data Privacy and Women’s Rights with Rebecca Finlay
Publicat: 28.09.2022 -
Digital Lethargy with Tung-Hui Hu
Publicat: 31.08.2022 -
Should the Government use AI? with Shion Guha
Publicat: 27.07.2022 -
Envisioning a Decolonial Digital Mental Health with Sachin Pendse, Munmun De Choudhury, and Neha Kumar
Publicat: 29.06.2022 -
Visualizing Our Lives Through Data with Jaime Snyder
Publicat: 25.05.2022 -
Let’s Talk About Sex: Digital Pornography and LGBTQIA+ Censorship w/ Alex Monea
Publicat: 27.04.2022 -
New Year, New You: Welcome Back to the Radical AI Podcast
Publicat: 20.04.2022 -
Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao
Publicat: 19.12.2021 -
Decolonial AI 101 with Raziye Buse Çetin
Publicat: 08.12.2021 -
Design Justice 101 with Sasha Costanza-Chock
Publicat: 03.11.2021 -
What Causes AI to Fail? with the AI Today Podcast
Publicat: 15.10.2021 -
Measurementality #6: Authentic Accountability for Successful AI with Yoav Schlesinger
Publicat: 11.10.2021 -
Predicting Mental Illness Through AI with Stevie Chancellor
Publicat: 06.10.2021
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.
