Ethics of AI in Context
A podcast by Ethics of AI Lab, University of Toronto
61 Episodio
-
Conference: Trust and the Ethics of AI
Pubblicato: 08/07/2022 -
Conference: Afrofuturism And The Law
Pubblicato: 19/05/2022 -
Nathan Olmstead, We Are All Ghosts: Sidewalk Toronto
Pubblicato: 13/04/2022 -
Kamilah Ebrahim & Erina Moon, Building Algorithms that Work for Everyone
Pubblicato: 01/04/2022 -
Sharon Ferguson, Increasing Diversity In Machine Learning And Artificial Intelligence
Pubblicato: 23/03/2022 -
Julian Posada, The Coloniality Of Data Work For Machine Learning
Pubblicato: 16/03/2022 -
Tom Yeh & Benjamin Walsh, Is AI Creepy Or Cool Teaching Teens About AI And Ethics
Pubblicato: 16/03/2022 -
Mishall Ahmed, Difference Centric Yet Difference Transcended
Pubblicato: 04/03/2022 -
From Human Rights To Digital Human Rights – A Proposed Typology
Pubblicato: 04/03/2022 -
Wendy Wong, Data You And The Challenge For Data Rights (Ethics Of AI In Context)
Pubblicato: 18/02/2022 -
Kelly Hannah-Moffat, Algorithmic Adaptability And Ethics Washing - Appropriating The Critique
Pubblicato: 03/02/2022 -
Algorithmic Policing Policies Through A Human Rights And Substantive Equality Lens
Pubblicato: 27/01/2022 -
Ori Freiman, The Ethics Of Central Bank Digital Currency
Pubblicato: 20/01/2022 -
Pasquale & Malgieri, The New Turn On AI Accountability From The EU Regulation And Beyond
Pubblicato: 03/12/2021 -
Kiel Brennan-Marquez, The (Non)Automatability Of Equity
Pubblicato: 26/11/2021 -
Mathew Iantorno, Automating Care, Manufacturing Crisis
Pubblicato: 29/10/2021 -
Avery Slater, The Golem and the Game of Automation (Ethics of AI in Context)
Pubblicato: 27/10/2021 -
Abdi Aidid, Legal Prediction and Calcification Risk
Pubblicato: 07/10/2021 -
Rodrigo Ochigame, Actuarialism And Racial Capitalism (Ethics Of AI In Context)
Pubblicato: 07/06/2021 -
Alex Hanna, Data, Transparency, And AI Ethics
Pubblicato: 07/06/2021
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.
