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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

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Application & Adoption

Beyond Bias and Discrimination: Redefining the AI Ethics Principle of Fairness in Healthcare Machine-Learning Algorithms

June 1, 2023

🔬 Research Summary by Simona Tiribelli, an Assistant Professor in Ethics at University of Macerata, Director of AI Ethics at the Institute for Technology and Global Health, and Head for AI Ethics of the WHO-ITU AI4H FG … [Read more...] about Beyond Bias and Discrimination: Redefining the AI Ethics Principle of Fairness in Healthcare Machine-Learning Algorithms

Equal Improvability: A New Fairness Notion Considering the Long-term Impact

June 1, 2023

🔬 Research Summary by Ozgur Guldogan, Yuchen Zeng,  Jy-yong Sohn, Ramtin Pedarsani, and Kangwook Lee Ozgur Guldogan is a Ph.D. student at the University of California, Santa Barbara. His research interests are … [Read more...] about Equal Improvability: A New Fairness Notion Considering the Long-term Impact

A Look at the American Data Privacy and Protection Act

May 31, 2023

✍️ Column by Max Krueger, a consultant at Accenture with an interest in both the long and short-term implications of AI on society. [Original document by Frank Pallone (D-NJ-06), Cathy McMorris Rodgers (R-WA-05), … [Read more...] about A Look at the American Data Privacy and Protection Act

Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable

May 31, 2023

🔬 Research Summary by Kenneth Church, a researcher who works on natural language processing, information retrieval, artificial intelligence and machine learning. [Original paper by Kenneth Church, Annika Schoene, … [Read more...] about Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable

Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue

May 31, 2023

🔬 Research Summary by Travis Greene, an Assistant Professor at Copenhagen Business School's Department of Digitalization with an interdisciplinary background in philosophy and research interests in data science ethics … [Read more...] about Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue

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Spotlight

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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Founded in 2018, the Montreal AI Ethics Institute (MAIEI) is an international non-profit organization equipping citizens concerned about artificial intelligence and its impact on society to take action.

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