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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

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Articles

SoK: The Gap Between Data Rights Ideals and Reality

February 6, 2024

馃敩 Research Summary by Yujin Potter, a postdoc at UC Berkeley, focusing on AI alignment, AI safety, blockchain, and DeFi. [Original paper by Yujin Potter, Ella Corren, Gonzalo Munilla Garrido, Chris Hoofnagle, and … [Read more...] about SoK: The Gap Between Data Rights Ideals and Reality

LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games

February 5, 2024

馃敩 Research Summary by Sahar Abdelnabi, a Ph.D. student at CISPA Helmholtz Center for Information Security, Germany. Her research interests lie in the intersection of machine learning, security, and … [Read more...] about LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games

Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles

February 5, 2024

馃敩 Research Summary by Zhaobo Zheng, a scientist at Honda Research Institute USA, Inc. [Original paper by Minxue Niu, Zhaobo Zheng, Kumar Akash, and Teruhisa Misu] Overview: The trust in autonomous driving is … [Read more...] about Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles

“It doesn’t tell me anything about how my data is used”: User Perceptions of Data Collection Purposes

February 5, 2024

馃敩 Research Summary by Lin Kyi, a Computer Science Ph.D. student at the Max Planck Institute for Security and Privacy focusing on online consent and the ethical collection of data. [Original paper by Abraham … [Read more...] about “It doesn’t tell me anything about how my data is used”: User Perceptions of Data Collection Purposes

A collection of principles for guiding and evaluating large language models

February 5, 2024

馃敩 Research Summary by Matthias Samwald, an associate professor at the Medical University of Vienna and works on making powerful AI systems driving biomedical progress more trustworthy. [Original paper by … [Read more...] about A collection of principles for guiding and evaluating large language models

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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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