The Radical AI Podcast
En podcast av Radical AI
91 Avsnitt
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Stay Radical: A Final Goodbye from Dylan and Jess
Publicerades: 2023-08-09 -
Twitter vs. Mastodon with Johnathan Flowers
Publicerades: 2023-04-26 -
More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard
Publicerades: 2023-03-22 -
The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler
Publicerades: 2023-03-01 -
ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon
Publicerades: 2023-01-25 -
Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock
Publicerades: 2022-11-30 -
How to Stay Safe Online with Seyi Akiwowo
Publicerades: 2022-10-26 -
Data Privacy and Women’s Rights with Rebecca Finlay
Publicerades: 2022-09-28 -
Digital Lethargy with Tung-Hui Hu
Publicerades: 2022-08-31 -
Should the Government use AI? with Shion Guha
Publicerades: 2022-07-27 -
Envisioning a Decolonial Digital Mental Health with Sachin Pendse, Munmun De Choudhury, and Neha Kumar
Publicerades: 2022-06-29 -
Visualizing Our Lives Through Data with Jaime Snyder
Publicerades: 2022-05-25 -
Let’s Talk About Sex: Digital Pornography and LGBTQIA+ Censorship w/ Alex Monea
Publicerades: 2022-04-27 -
New Year, New You: Welcome Back to the Radical AI Podcast
Publicerades: 2022-04-20 -
Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao
Publicerades: 2021-12-19 -
Decolonial AI 101 with Raziye Buse Çetin
Publicerades: 2021-12-08 -
Design Justice 101 with Sasha Costanza-Chock
Publicerades: 2021-11-03 -
What Causes AI to Fail? with the AI Today Podcast
Publicerades: 2021-10-15 -
Measurementality #6: Authentic Accountability for Successful AI with Yoav Schlesinger
Publicerades: 2021-10-11 -
Predicting Mental Illness Through AI with Stevie Chancellor
Publicerades: 2021-10-06
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.