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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy.

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Research Summaries

October 22, 2022

Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata

Summary contributed by Nga Than (@NgaThanNYC), Senior Data Scientist at Prudential Financial. [Original paper by Amy Heger, Elizabeth B.

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October 22, 2022

Predatory Medicine: Exploring and Measuring the Vulnerability of Medical AI to Predatory Science

πŸ”¬ Research Summary by Shalini Saini, a doctoral researcher exploring privacy and security of AI in Medicine, Voice Biometrics, and Mobile Apps. She is

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October 16, 2022

Scoping AI Governance: A Smarter Tool Kit for Beneficial Applications

πŸ”¬ Research Summary by Grace Wright, Business Development Manager at a technology start-up and has worked in research roles focused on responsible and

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October 15, 2022

Human-centred mechanism design with Democratic AI

πŸ”¬ Research summary by Connor Wright, our Partnerships Manager. [Original paper by Raphael Koster, Balaguer Jan, Andrea Tacchetti, Ari

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October 13, 2022

Fair and explainable machine learning under current legal frameworks

πŸ”¬ Research Summary by Przemyslaw Grabowicz, a Research Assistant Professor of Computer Science at the University of Massachusetts

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October 13, 2022

Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection and Use in the Pursuit of Fairness

πŸ”¬ Research Summary by Sarah Villeneuve, a Program Lead working on Fairness, Transparency, and Accountability at the Partnership on

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October 13, 2022

Promises and Challenges of Causality for Ethical Machine Learning

πŸ”¬ Research Summary by Aida Rahmattalabi, a PhD in computer science at the University of Southern California where she focused on developing

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October 13, 2022

An Algorithmic Introduction to Savings Circles

πŸ”¬ Research Summary by Christian Ikeokwu, a PhD Student in Computer Science at UC Berkeley with a focus on Theoretical Computer Science and Artificial

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October 13, 2022

(Re)Politicizing Digital Well-Being: Beyond User Engagements

πŸ”¬ Research Summary by Niall Docherty and Asia Biega. Dr Niall Docherty is focused on analyzing, critiquing, and building β€˜healthy’ sociotechnical

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October 13, 2022

Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML

πŸ”¬ Research Summary by Lindsay Weinberg, a Clinical Assistant Professor in the John Martinson Honors College at Purdue University, and the Founding

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October 6, 2022

An Empirical Study of Modular Bias Mitigators and Ensembles

πŸ”¬ Research Summary by Michael Feffer, a Societal Computing PhD student at Carnegie Mellon University. [Original paper by Michael Feffer,

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October 6, 2022

Who will share Fake-News on Twitter? Psycholinguistic cues in online post histories discriminate between actors in the misinformation ecosystem

πŸ”¬ Research Summary by Verena Schoenmueller, an Assistant Professor in the Marketing Department at Bocconi University. Verena’s research focuses on how

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