▶ Video of Lecture

Avery Slater, The Golem and the Game of Automation

Panelists: Kristen Thomasen, Suzie Dunn, & Kate Robertson

This panel will discuss Citizen Lab and LEAF’s collaborative submission to the Toronto Police Services Board’s public consultation on its draft policy for AI use by the Toronto police with the three co-authors of the submission. The submission made 33 specific recommendations to the TPSB with a focus on substantive equality and human rights. The panelists will discuss some of those recommendations and the broader themes identified in the draft policy.

▶️ Video of Lecture

Algorithmic Policing Policies Through A Human Rights And Substantive Equality Lens

The Ethics of Remote Fieldwork in a Pandemic: Some Reflections on Performances in a Zoom Room

In this episode, Aden interviews Kristen Csenkey,  is a PhD in Global Governance Candidate at the Balsillie School of International Affairs through Wilfrid Laurier University in Waterloo. She is a Fellow with the Canadian Global Affairs Institute (CGAI). Kristen was the 2020 Women in Defence and Security (WiDS) Fellowship recipient and a Women in International Security (WIIS) Canada Emerging Thought Leader in Digital Security. You can find her on Twitter at https://twitter.com/KCsenkey, as well as some of her work on linktr.ee at: linktr.ee/KristenCsenkey.

Ethics of Research (Ep. 5): Kristen Csenkey

What’s the difference between merely being offensive and being unethical? When does a joke go too far? Open Questions is a production of the Centre for Ethics at the University of Toronto. The music is written and performed by Markku Wainman.

Why Is It Okay to Make Fun of Elites?

Machine learning systems are implemented by all the big tech companies in everything from ad auctions to photo-tagging, and are supplementing or replacing human decision making in a host of more mundane, but possibly more consequential, areas like loans, bail, policing, and hiring. And we’ve already seen plenty of dangerous failures; from risk assessment tools systematically rating black arrestees as riskier than white ones, to hiring algorithms that learned to reject women. There’s a broad consensus across industry, academe, government, and civil society that there is a problem here, one that presents a deep challenge to core democratic values, but there is much debate over what kind of problem it is and how it might be solved. Taking a sociological approach to the current boom in ethical AI and machine learning initiatives that promise to save us from the machines, this talk explores how this problem becomes a problem, for whom, and with what solutions.

Video of Lecture

How Ethics of AI Became a Problem (feat. Daniel Greene)

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.

Algorithmic Policing Policies Through A Human Rights And Substantive Equality Lens

Ethics of AI in Context

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