The Radical AI Podcast
Podcast autorstwa Radical AI
91 Odcinki
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Stay Radical: A Final Goodbye from Dylan and Jess
Opublikowany: 9.08.2023 -
Twitter vs. Mastodon with Johnathan Flowers
Opublikowany: 26.04.2023 -
More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard
Opublikowany: 22.03.2023 -
The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler
Opublikowany: 1.03.2023 -
ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon
Opublikowany: 25.01.2023 -
Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock
Opublikowany: 30.11.2022 -
How to Stay Safe Online with Seyi Akiwowo
Opublikowany: 26.10.2022 -
Data Privacy and Women’s Rights with Rebecca Finlay
Opublikowany: 28.09.2022 -
Digital Lethargy with Tung-Hui Hu
Opublikowany: 31.08.2022 -
Should the Government use AI? with Shion Guha
Opublikowany: 27.07.2022 -
Envisioning a Decolonial Digital Mental Health with Sachin Pendse, Munmun De Choudhury, and Neha Kumar
Opublikowany: 29.06.2022 -
Visualizing Our Lives Through Data with Jaime Snyder
Opublikowany: 25.05.2022 -
Let’s Talk About Sex: Digital Pornography and LGBTQIA+ Censorship w/ Alex Monea
Opublikowany: 27.04.2022 -
New Year, New You: Welcome Back to the Radical AI Podcast
Opublikowany: 20.04.2022 -
Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao
Opublikowany: 19.12.2021 -
Decolonial AI 101 with Raziye Buse Çetin
Opublikowany: 8.12.2021 -
Design Justice 101 with Sasha Costanza-Chock
Opublikowany: 3.11.2021 -
What Causes AI to Fail? with the AI Today Podcast
Opublikowany: 15.10.2021 -
Measurementality #6: Authentic Accountability for Successful AI with Yoav Schlesinger
Opublikowany: 11.10.2021 -
Predicting Mental Illness Through AI with Stevie Chancellor
Opublikowany: 6.10.2021
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.