The Radical AI Podcast
Een podcast door Radical AI
91 Afleveringen
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Stay Radical: A Final Goodbye from Dylan and Jess
Gepubliceerd: 9-8-2023 -
Twitter vs. Mastodon with Johnathan Flowers
Gepubliceerd: 26-4-2023 -
More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard
Gepubliceerd: 22-3-2023 -
The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler
Gepubliceerd: 1-3-2023 -
ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon
Gepubliceerd: 25-1-2023 -
Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock
Gepubliceerd: 30-11-2022 -
How to Stay Safe Online with Seyi Akiwowo
Gepubliceerd: 26-10-2022 -
Data Privacy and Women’s Rights with Rebecca Finlay
Gepubliceerd: 28-9-2022 -
Digital Lethargy with Tung-Hui Hu
Gepubliceerd: 31-8-2022 -
Should the Government use AI? with Shion Guha
Gepubliceerd: 27-7-2022 -
Envisioning a Decolonial Digital Mental Health with Sachin Pendse, Munmun De Choudhury, and Neha Kumar
Gepubliceerd: 29-6-2022 -
Visualizing Our Lives Through Data with Jaime Snyder
Gepubliceerd: 25-5-2022 -
Let’s Talk About Sex: Digital Pornography and LGBTQIA+ Censorship w/ Alex Monea
Gepubliceerd: 27-4-2022 -
New Year, New You: Welcome Back to the Radical AI Podcast
Gepubliceerd: 20-4-2022 -
Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao
Gepubliceerd: 19-12-2021 -
Decolonial AI 101 with Raziye Buse Çetin
Gepubliceerd: 8-12-2021 -
Design Justice 101 with Sasha Costanza-Chock
Gepubliceerd: 3-11-2021 -
What Causes AI to Fail? with the AI Today Podcast
Gepubliceerd: 15-10-2021 -
Measurementality #6: Authentic Accountability for Successful AI with Yoav Schlesinger
Gepubliceerd: 11-10-2021 -
Predicting Mental Illness Through AI with Stevie Chancellor
Gepubliceerd: 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.