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