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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy.

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Blog

October 30, 2022

Assessing the Fairness of AI Systems: AI Practitioners’ Processes, Challenges, and Needs for Support

🔬 Research Summary by Michael A. Madaio, a postdoctoral researcher at Microsoft Research, where his research is at the intersection of HCI and FATE

Category iconResearch Summaries

October 30, 2022

Let Users Decide: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

Summary contributed by Martin Pawelczyk, a PhD student at the University of Tübingen working on interpretability of machine learning models with a

Category iconResearch Summaries

October 30, 2022

The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices

Summary contributed by Yi Sheng, a Ph.D. student at George Mason University, advised by Weiwen Jiang, and interested in software and hardware

Category iconResearch Summaries

October 30, 2022

Visions of Artificial Intelligence and Robots in Science Fiction: a computational analysis

🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Hirotaka Osawa, Dohjin Miyamoto, Satoshi Hase, Reina Saijo,

Category iconResearch Summaries

October 23, 2022

Responsible sourcing and the professionalization of data work

✍️ Column by Natalie Klym, who has been leading digital technology innovation programs in academic and private institutions for 25 years including at

Category iconColumns,  Permission to Be Uncertain

October 23, 2022

Broadening AI Ethics Narratives: An Indic Art View

Summary contributed by Ajay Divakaran, a senior technical director, Center for Vision Technologies, SRI International. [Original paper by Ajay

Category iconResearch Summaries

October 23, 2022

Designing a Future Worth Wanting: Applying Virtue Ethics to Human–Computer Interaction

Summary contributed by  Tim Gorichanaz, an Assistant Teaching Professor in the College of Computing & Informatics at Drexel University, where he

Category iconResearch Summaries

October 22, 2022

Understanding Toxicity Triggers on Reddit in the Context of Singapore

Summary contributed by Yun Yu Chong and Haewoon Kwak. Chong Yun Yu is a recent graduate from Singapore Management University who is

Category iconResearch 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.

Category iconResearch Summaries

October 22, 2022

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

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

Category iconResearch Summaries

October 16, 2022

Scoping AI Governance: A Smarter Tool Kit for Beneficial Applications

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

Category iconResearch Summaries

October 15, 2022

Human-centred mechanism design with Democratic AI

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

Category iconResearch Summaries

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