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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

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Health

Fair Generative Model Via Transfer Learning

June 17, 2023

🔬 Research Summary by Christopher Teo, a fourth year PhD student at the Singapore University of Technology and Design (SUTD). [Original paper by Christopher T.H.Teo, Milad Abdollahzadeh, and Ngai-Man … [Read more...] about Fair Generative Model Via Transfer Learning

Selecting Privacy-Enhancing Technologies for Managing Health Data Use

June 1, 2023

🔬 Research Summary by Rachele Hendricks-Sturrup, Clara Fontaine, and Sara Jordan Dr. Rachele Hendricks-Sturrup is the Research Director of Real-World Evidence (RWE) at the Duke-Margolis Center for Health Policy … [Read more...] about Selecting Privacy-Enhancing Technologies for Managing Health Data Use

Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence

June 1, 2023

🔬 Research Summary by Jennafer Shae Roberts, a researcher and writer for the non-profit Accel AI Institute. She focuses on the ethics of artificial intelligence coming from an anthropology background. [Original … [Read more...] about Contextualizing Artificially Intelligent Morality: A Meta-Ethnography of Top-Down, Bottom-Up, and Hybrid Models for Theoretical and Applied Ethics in Artificial Intelligence

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

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