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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

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Open-source provisions for large models in the AI Act

September 6, 2023

🔬 Research Summary by Harry Law and Sebastien A. Krier. Harry Law is an ethics and policy researcher at Google DeepMind, a PhD candidate at the University of Cambridge, and postgraduate fellow at the Leverhulme … [Read more...] about Open-source provisions for large models in the AI Act

FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines

September 6, 2023

🔬 Research Summary by Matthew Barker, a recent graduate from the University of Cambridge, whose research focuses on explainable AI and human-machine teams. [Original paper by Matthew Barker, Emma Kallina, … [Read more...] about FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines

The path toward equal performance in medical machine learning

September 6, 2023

🔬 Research Summary by Eike Petersen, a postdoctoral researcher at the Technical University of Denmark (DTU), working on fair, responsible, and robust machine learning for medicine. [Original paper by Eike … [Read more...] about The path toward equal performance in medical machine learning

Adding Structure to AI Harm

September 6, 2023

🔬 Research Summary by Mia Hoffmann and Heather Frase. Dr. Heather Frase is a Senior Fellow at the Center for Security and Emerging Technology, where she leads the line of research on AI Assessment. Together … [Read more...] about Adding Structure to AI Harm

On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research

September 6, 2023

🔬 Research Summary by Luiza Pozzobon, a Research Scholar at Cohere For AI where she currently researches model safety. She’s also a master’s student at the University of Campinas, Brazil. [Original paper by Luiza … [Read more...] about On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research

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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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