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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy.

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Research Summaries

April 5, 2020

Research summary: Maximizing Privacy and Effectiveness in COVID-19 Apps

Top-level summary: This highly insightful work from the OpenMined team led by Andrew Trask provides a great amount of technical detail when trying to

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March 31, 2020

Research summary: Challenges in Supporting Exploratory Search through Voice Assistants

Top-level summary: A high-level position paper from Google (by Xiao Ma and Ariel Lu), this work brings forth in a succinct manner some of the

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March 31, 2020

Research summary: Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic

Top-level summary: With a rising number of cases worldwide of COVID-19 and extensive measures being taken across the world to minimize the spread and

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March 31, 2020

Research summary: AI Governance: A Holistic Approach to Implement Ethics in AI

Top-level summary: This white paper from the World Economic Forum presents a great getting started guide for people looking to implement governance

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March 24, 2020

Research summary: Robot Rights? Let’s Talk about Human Welfare instead

Top-level summary: This paper by Abeba Birhane and Jelle van Dijk highlights a quintessential dilemma that often pops up when entrants to the domain

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March 24, 2020

Research summary: The Deepfake Detection Challenge: Insights and Recommendations for AI and Media Integrity

Top-level summary: Accurate and trustworthy information plays a key role in the development of a well-functioning society. When that is compromised by

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March 24, 2020

Research summary: Machine Learning Fairness – Lessons Learned

Top-level summary: When we think about fairness in ML systems, we usually focus a lot on data and not as much on the other pieces of the pipeline.

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March 16, 2020

Research summary: The Toxic Potential of YouTube’s Feedback Loop

This summary is based on a talk from the CADE Tech Policy Workshop: New Challenges for Regulation in late 2019. The speaker, Guillaume Chaslot,

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March 16, 2020

Research summary: What’s Next for AI Ethics, Policy, and Governance? A Global Overview

This paper (by Daniel Schiff, Justin Biddle, Jason Borenstein and Kelly Laas) attempts to discern underlying motivations for creating AI ethics

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March 16, 2020

Research summary: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand

This paper by two economists (Daron Acemoglu and Pascual Restrepo) provides some grounding for these discussions in terms of how to approach this

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March 9, 2020

Research summary: Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society

A much needed paper by Carina Prunkl and Jess Whittlestone shedding light in a polarized research and practice community that can clearly benefit from

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March 9, 2020

Research summary: Algorithmic Injustices towards a Relational Ethics

This paper presented by Abebe Birhane and Fred Cummins at the Black in AI workshop at NeurIPS 2019 elucidates how the current paradigm in research on

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