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