麻豆社

CIREQ Workshop: Interdisciplinary Perspectives on AI as an Agent of Change

Wednesday, March 27, 2024 14:00to17:00

This workshop highlights the important changes in the economy and society that are being brought about by the newly developed Artificial Intelligence algorithms and their widening adoption.855, rue...

Final Report on the Governance and Regulation of AI published by the Quebec Council for Innovation

Published: 8 February 2024

The Quebec Council for Innovation, for which Jocelyn Maclure was a co-leader for the working group on the societal impacts of AI, published a final report on the governance and regulation of聽AI.

Interview: 鈥淟es secrets de 鈥楲a mafia m茅dicale鈥: Le prix de la libert茅鈥

Published: 8 February 2024

Jocelyn Maclure, the chairholder for the Jarislowsky Chair in Human Nature and Technology, appeared on the Radio Canada podcast 鈥淒茅rives鈥 to be interviewed on the topic of academic freedom and...

Work-in-Progress Session: 鈥淚n Defense of Timidity鈥- Effective Altruism and Longtermism

Tuesday, January 30, 2024 13:00to14:00

This work-in-progress seminar will feature 鈥淚n Defense of Timidity鈥,聽a paper about effective altruism and longtermism聽by Keven Bisson, a PhD student in the Department of Philosophy at 麻豆社.855,...

Publication of an opinion by the CEST on the ethical challenges of algorithmic management

Published: 8 January 2024

This opinion continues and expands upon the reflections initiated by the CEST on the impact of artificial intelligence (AI) systems on the world of work, focusing this time on the ethical...

Interview: Jocelyn Maclure et les choix 茅thiques de l'IA

Published: 17 January 2024

In this interview, Jocelyn Maclure, president of the Quebec Commission on Ethics in Science and Technology and professor in the Department of Philosophy at 麻豆社, discusses the ethical...

Jarislowsky Chairholder participates in a workshop on epistemic rights in AI policy

Published: 8 January 2024

Eindhoven Center for the Philosophy of AI Workshop on epistemic rights and AI policy (with a focus on explainable AI, LLMs and generative AI, and fairness and accountability).

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