Ethics of AI in Context

En podcast af Ethics of AI Lab, University of Toronto

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61 Episoder

  1. Conference: Trust and the Ethics of AI

    Udgivet: 8.7.2022
  2. Conference: Afrofuturism And The Law

    Udgivet: 19.5.2022
  3. Nathan Olmstead, We Are All Ghosts: Sidewalk Toronto

    Udgivet: 13.4.2022
  4. Kamilah Ebrahim & Erina Moon, Building Algorithms that Work for Everyone

    Udgivet: 1.4.2022
  5. Sharon Ferguson, Increasing Diversity In Machine Learning And Artificial Intelligence

    Udgivet: 23.3.2022
  6. Julian Posada, The Coloniality Of Data Work For Machine Learning

    Udgivet: 16.3.2022
  7. Tom Yeh & Benjamin Walsh, Is AI Creepy Or Cool Teaching Teens About AI And Ethics

    Udgivet: 16.3.2022
  8. Mishall Ahmed, Difference Centric Yet Difference Transcended

    Udgivet: 4.3.2022
  9. From Human Rights To Digital Human Rights – A Proposed Typology

    Udgivet: 4.3.2022
  10. Wendy Wong, Data You And The Challenge For Data Rights (Ethics Of AI In Context)

    Udgivet: 18.2.2022
  11. Kelly Hannah-Moffat, Algorithmic Adaptability And Ethics Washing - Appropriating The Critique

    Udgivet: 3.2.2022
  12. Algorithmic Policing Policies Through A Human Rights And Substantive Equality Lens

    Udgivet: 27.1.2022
  13. Ori Freiman, The Ethics Of Central Bank Digital Currency

    Udgivet: 20.1.2022
  14. Pasquale & Malgieri, The New Turn On AI Accountability From The EU Regulation And Beyond

    Udgivet: 3.12.2021
  15. Kiel Brennan-Marquez, The (Non)Automatability Of Equity

    Udgivet: 26.11.2021
  16. Mathew Iantorno, Automating Care, Manufacturing Crisis

    Udgivet: 29.10.2021
  17. Avery Slater, The Golem and the Game of Automation (Ethics of AI in Context)

    Udgivet: 27.10.2021
  18. Abdi Aidid, Legal Prediction and Calcification Risk

    Udgivet: 7.10.2021
  19. Rodrigo Ochigame, Actuarialism And Racial Capitalism (Ethics Of AI In Context)

    Udgivet: 7.6.2021
  20. Alex Hanna, Data, Transparency, And AI Ethics

    Udgivet: 7.6.2021

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A selection of interviews and talks exploring the normative dimensions of AI and related technologies in individual and public life, brought to you by the interdisciplinary Ethics of AI Lab at the Centre for Ethics, University of Toronto.

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