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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

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Emerging Technology

Scoping AI Governance: A Smarter Tool Kit for Beneficial Applications

October 16, 2022

🔬 Research Summary by Grace Wright, Business Development Manager at a technology start-up and has worked in research roles focused on responsible and ethical development and use of AI and other emerging … [Read more...] about Scoping AI Governance: A Smarter Tool Kit for Beneficial Applications

An Algorithmic Introduction to Savings Circles

October 13, 2022

🔬 Research Summary by Christian Ikeokwu, a PhD Student in Computer Science at UC Berkeley with a focus on Theoretical Computer Science and Artificial Intelligence. [Original paper by Rediet Abebe, Adam Eck, … [Read more...] about An Algorithmic Introduction to Savings Circles

Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML

October 13, 2022

🔬 Research Summary by Lindsay Weinberg, a Clinical Assistant Professor in the John Martinson Honors College at Purdue University, and the Founding Director of the Tech Justice Lab. [Original paper by Lindsay … [Read more...] about Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML

Can an AI be sentient? Cultural perspectives on sentience and on the potential ethical implications of the rise of sentient AI.

October 13, 2022

✍️ Column by Connor Wright, our Partnerships Manager. Overview: Given the events with LaMDA, Connor Wright argues that LaMDA is not sentient, drawing on teachings from the philosophy of ubuntu. He then analyses the … [Read more...] about Can an AI be sentient? Cultural perspectives on sentience and on the potential ethical implications of the rise of sentient AI.

An Empirical Study of Modular Bias Mitigators and Ensembles

October 6, 2022

🔬 Research Summary by Michael Feffer, a Societal Computing PhD student at Carnegie Mellon University. [Original paper by Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham … [Read more...] about An Empirical Study of Modular Bias Mitigators and Ensembles

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ALL IN Conference 2025: Four Key Takeaways from Montreal

Beyond Dependency: The Hidden Risk of Social Comparison in Chatbot Companionship

AI Policy Corner: Restriction vs. Regulation: Comparing State Approaches to AI Mental Health Legislation

Beyond Consultation: Building Inclusive AI Governance for Canada’s Democratic Future

AI Policy Corner: U.S. Executive Order on Advancing AI Education for American Youth

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    U.S. Artificial Intelligence Safety Institute Consortium (AISIC) at NIST

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