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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

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A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning

December 6, 2022

πŸ”¬ Research Summary by Siobhan Mackenzie Hall, PhD student at the Oxford Neural Interfacing groups at the University of Oxford. Siobhan is also a member of the Oxford Artificial Intelligence Society, along with the … [Read more...] about A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning

Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles

November 14, 2022

πŸ”¬ Research Summary by Thomas Krendl Gilbert, a Postdoctoral Fellow at Cornell Tech’s Digital Life Initiative, and has a Ph.D. in Machine Ethics and Epistemology from the University of California, … [Read more...] about Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles

Ethics of AI in Education: Towards a Community-wide Framework

November 7, 2022

πŸ”¬ Research Summary by Wayne Holmes, a learning sciences and innovation researcher who teaches at University College London, is a consultant researcher on Artificial Intelligence (AI) and education for UNESCO, and is a … [Read more...] about Ethics of AI in Education: Towards a Community-wide Framework

Breaking Fair Binary Classification with Optimal Flipping Attacks

November 7, 2022

πŸ”¬ Research Summary by Changhun Jo, Jy-yong Sohn, Kangwook Lee. Changhun Jo is a PhD candidate at University of Wisconsin-Madison, working on algorithmic fairness, social recommender systems, and machine … [Read more...] about Breaking Fair Binary Classification with Optimal Flipping Attacks

Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem

November 7, 2022

πŸ”¬ Research summary by Connor Wright, our Partnerships Manager. [Original paper by Sasha Costanza-Chock, Inioluwa Deborah Raji, Joy Buolamwini] Overview: The AI audit field is now larger than ever as a … [Read more...] about Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem

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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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