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Montreal AI Ethics Institute

Montreal AI Ethics Institute

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Research summary: Evasion Attacks Against Machine Learning at Test Time

June 8, 2020

Summary contributed by Erick Galinkin (@ErickGalinkin), Principal AI Researcher at Rapid7 (Authors of full paper & link at the bottom) Machine learning adoption is widespread and in the field of … [Read more...] about Research summary: Evasion Attacks Against Machine Learning at Test Time

Response to Scotland’s AI Strategy

June 4, 2020

Our full response to Scotland's AI StrategyDownload Below is an excerpt from the full report. The Scotland documents we're responding to: Scoping Document, Consultation Paper. What do you think of the proposed … [Read more...] about Response to Scotland’s AI Strategy

Research summary: Politics of Adversarial Machine Learning

May 3, 2020

Mini summary (scroll down for full summary): A very timely paper that in the post-ClearviewAI world brings forth some important issues about how to think about the societal implications of the work done in the ML … [Read more...] about Research summary: Politics of Adversarial Machine Learning

Why the contemporary view of the relationship between AI’s moral status and rights is wrong

April 24, 2020

By Thomas O'Callaghan-Brown (Philosophy & Biology, McGill University) Top-level summary: Authors such as John P. Sullins and Colin Allen suggest that AI of all kinds have moral status. Following from this we … [Read more...] about Why the contemporary view of the relationship between AI’s moral status and rights is wrong

Research summary: Suckers List: How Allstate’s Secret Auto Insurance Algorithm Squeezes Big Spenders

April 15, 2020

Top-level summary: Ever wondered what goes into pricing your insurance premiums the way they are and why they are different from others who you know, even when you share a largely similar risk profile? This investigative … [Read more...] about Research summary: Suckers List: How Allstate’s Secret Auto Insurance Algorithm Squeezes Big Spenders

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