The Radical AI Podcast
A podcast by Radical AI
91 Episoade
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Measurementality #5: Intergenerational Collaboration with Sinead Bovell
Publicat: 19.09.2021 -
Indigenous AI 101 with Jason Edward Lewis
Publicat: 08.09.2021 -
Casteist Technology and Digital Brahminism with Thenmozhi Soundararajan and Seema Hari
Publicat: 18.06.2021 -
Measurementality #4: What are we Optimizing for? with Laura Musikanski and Jonathan Stray
Publicat: 16.06.2021 -
Feminist AI 101 with Eleanor Drage and Kerry Mackereth
Publicat: 02.06.2021 -
Decentralizing AI with Divya Siddarth
Publicat: 27.05.2021 -
Killer Robots and Value Sensitive Design with Steven Umbrello
Publicat: 05.05.2021 -
Measurementality #3: Counting Mental Health and Caregiving in Technology and AI
Publicat: 02.05.2021 -
Design, Disability, Creativity, and Accessibility with Cynthia Bennett
Publicat: 21.04.2021 -
Atlas of AI with Kate Crawford
Publicat: 07.04.2021 -
Defining Bias with Su Lin Blodgett
Publicat: 31.03.2021 -
Measurementality #2: Children's Data and Sustainability
Publicat: 21.03.2021 -
Your Computer Is on Fire with Mar Hicks & Kavita Philip
Publicat: 10.03.2021 -
All Tech is Human Series #9 - Misinformation & Free Expression with Jasmine McNealy & Claire Wardle
Publicat: 03.03.2021 -
Social Inequality in the Digital Economy with Zanele Munyikwa
Publicat: 24.02.2021 -
Measurementality #1: Defining What Counts in the Algorithmic Age
Publicat: 14.02.2021 -
Anti-Trust: Congress and the Tech Lobby with Anna Lenhart
Publicat: 10.02.2021 -
All Tech is Human Series #8 - Improving Social Media: Content Moderation & Democracy with Sarah T. Roberts & Murtaza Shaikh
Publicat: 27.01.2021 -
Ability and Accessibility in AI with Meredith Ringel Morris
Publicat: 20.01.2021 -
2020 Hindsight: The Radical AI Podcast New Years Spectacular!
Publicat: 30.12.2020
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.
