The Radical AI Podcast
En podkast av Radical AI
Kategorier:
91 Episoder
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Measurementality #5: Intergenerational Collaboration with Sinead Bovell
Publisert: 19.9.2021 -
Indigenous AI 101 with Jason Edward Lewis
Publisert: 8.9.2021 -
Casteist Technology and Digital Brahminism with Thenmozhi Soundararajan and Seema Hari
Publisert: 18.6.2021 -
Measurementality #4: What are we Optimizing for? with Laura Musikanski and Jonathan Stray
Publisert: 16.6.2021 -
Feminist AI 101 with Eleanor Drage and Kerry Mackereth
Publisert: 2.6.2021 -
Decentralizing AI with Divya Siddarth
Publisert: 27.5.2021 -
Killer Robots and Value Sensitive Design with Steven Umbrello
Publisert: 5.5.2021 -
Measurementality #3: Counting Mental Health and Caregiving in Technology and AI
Publisert: 2.5.2021 -
Design, Disability, Creativity, and Accessibility with Cynthia Bennett
Publisert: 21.4.2021 -
Atlas of AI with Kate Crawford
Publisert: 7.4.2021 -
Defining Bias with Su Lin Blodgett
Publisert: 31.3.2021 -
Measurementality #2: Children's Data and Sustainability
Publisert: 21.3.2021 -
Your Computer Is on Fire with Mar Hicks & Kavita Philip
Publisert: 10.3.2021 -
All Tech is Human Series #9 - Misinformation & Free Expression with Jasmine McNealy & Claire Wardle
Publisert: 3.3.2021 -
Social Inequality in the Digital Economy with Zanele Munyikwa
Publisert: 24.2.2021 -
Measurementality #1: Defining What Counts in the Algorithmic Age
Publisert: 14.2.2021 -
Anti-Trust: Congress and the Tech Lobby with Anna Lenhart
Publisert: 10.2.2021 -
All Tech is Human Series #8 - Improving Social Media: Content Moderation & Democracy with Sarah T. Roberts & Murtaza Shaikh
Publisert: 27.1.2021 -
Ability and Accessibility in AI with Meredith Ringel Morris
Publisert: 20.1.2021 -
2020 Hindsight: The Radical AI Podcast New Years Spectacular!
Publisert: 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.