The Radical AI Podcast
Podcast tekijän mukaan Radical AI
91 Jaksot
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Stay Radical: A Final Goodbye from Dylan and Jess
Julkaistiin: 9.8.2023 -
Twitter vs. Mastodon with Johnathan Flowers
Julkaistiin: 26.4.2023 -
More than a Glitch, Technochauvanism, and Algorithmic Accountability with Meredith Broussard
Julkaistiin: 22.3.2023 -
The Limitations of ChatGPT with Emily M. Bender and Casey Fiesler
Julkaistiin: 1.3.2023 -
ChatGPT: What is it? How does it work? Should we be excited? Or scared? with Deep Dhillon
Julkaistiin: 25.1.2023 -
Sounds, Sights, Smells, and Senses: Let’s Talk Data with Jordan Wirfs-Brock
Julkaistiin: 30.11.2022 -
How to Stay Safe Online with Seyi Akiwowo
Julkaistiin: 26.10.2022 -
Data Privacy and Women’s Rights with Rebecca Finlay
Julkaistiin: 28.9.2022 -
Digital Lethargy with Tung-Hui Hu
Julkaistiin: 31.8.2022 -
Should the Government use AI? with Shion Guha
Julkaistiin: 27.7.2022 -
Envisioning a Decolonial Digital Mental Health with Sachin Pendse, Munmun De Choudhury, and Neha Kumar
Julkaistiin: 29.6.2022 -
Visualizing Our Lives Through Data with Jaime Snyder
Julkaistiin: 25.5.2022 -
Let’s Talk About Sex: Digital Pornography and LGBTQIA+ Censorship w/ Alex Monea
Julkaistiin: 27.4.2022 -
New Year, New You: Welcome Back to the Radical AI Podcast
Julkaistiin: 20.4.2022 -
Measurementality #7: Why AI Registries are Critical for Metrics of Accountability with Sara Jordan and Anand Rao
Julkaistiin: 19.12.2021 -
Decolonial AI 101 with Raziye Buse Çetin
Julkaistiin: 8.12.2021 -
Design Justice 101 with Sasha Costanza-Chock
Julkaistiin: 3.11.2021 -
What Causes AI to Fail? with the AI Today Podcast
Julkaistiin: 15.10.2021 -
Measurementality #6: Authentic Accountability for Successful AI with Yoav Schlesinger
Julkaistiin: 11.10.2021 -
Predicting Mental Illness Through AI with Stevie Chancellor
Julkaistiin: 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.