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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

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Education

On the Actionability of Outcome Prediction

February 1, 2024

馃敩 Research Summary by Lydia T. Liu, a postdoctoral researcher at Cornell University and incoming assistant professor of computer science at Princeton University. [Original paper by Lydia T. Liu, Solon Barocas, … [Read more...] about On the Actionability of Outcome Prediction

How Culturally Aligned are Large Language Models?

January 27, 2024

馃敩 Research Summary by Reem Ibrahim Masoud, a Ph.D. student at University College London (UCL) specializing in the Cultural Alignment of Large Language Models. [Original paper by Reem I. Masoud, Ziquan Liu, Martin … [Read more...] about How Culturally Aligned are Large Language Models?

How Helpful do Novice Programmers Find the Feedback of an Automated Repair Tool?

January 27, 2024

馃敩 Research Summary by Oka Kurniawan, a Computer Science Faculty in the Singapore University of Technology and Design, Singapore. [Original paper by Oka Kurniawan,聽 Christopher M. Poskitt, Ismam Al Hoque, Norman … [Read more...] about How Helpful do Novice Programmers Find the Feedback of an Automated Repair Tool?

AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development

December 21, 2023

馃敩 Research Summary by Arun Teja Polcumpally, a Technology Policy Analyst at Wadhwani Institute of Technology Policy (WITP), New Delhi, India). NOTE: "The views in this article are expressed solely by the author … [Read more...] about AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development

Does diversity really go well with Large Language Models?

December 9, 2023

鉁嶏笍 Column by Sun Gyoo Kang, Lawyer. Disclaimer: The views expressed in this article are solely my own and do not reflect my employer's opinions, beliefs, or positions. Any opinions or information in this article … [Read more...] about Does diversity really go well with 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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