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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy.

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MAIEI

June 17, 2020

Research summary: On the Edge of Tomorrow: Canada’s AI Augmented Workforce

Summary contributed by Allison Cohen, a consultant at AI Global. Previously an AI Strategy Consultant at Deloitte. *Authors of original paper

Category iconResearch Summaries

June 17, 2020

Research summary: AI Governance in 2019, A Year in Review: Observations of 50 Global Experts

Summary contributed by Camylle Lanteigne (@CamLante), who's currently pursuing a Master's in Public Policy at Concordia University and whose work on

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June 17, 2020

A call for a critical look at the metrics for success in the evaluation of AI

The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (A/IS) is a community of experts collaborating on comprehensive,

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June 11, 2020

Press Release: Analysis of COVI, Mila’s Contact Tracing Application

The Montreal AI Ethics Institute Releases an Analysis of COVI, Mila’s Contact Tracing Application The Montreal AI Ethics Institute (MAIEI), an

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June 9, 2020

Response to Mila’s Proposal for a Contact Tracing App

Full paper in PDF formDownload Below is the excerpted introduction from the full paper, authored by Allison Cohen, Abhishek Gupta, Tania De

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June 8, 2020

Research summary: A Picture Paints a Thousand Lies? The Effects and Mechanisms of Multimodal Disinformation and Rebuttals Disseminated via Social Media

Dr. Marianna Ganapini (@MariannaBergama) is an Assistant Professor of Philosophy at Union College. *Authors of original paper & link at the

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June 8, 2020

Research summary: Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Summary contributed by Camylle Lanteigne (@CamLante), who's currently pursuing a Master's in Public Policy at Concordia University and whose work on

Category iconResearch Summaries

June 8, 2020

Research summary: SoK: Security and Privacy in Machine Learning

Summary contributed by Victoria Heath (@victoria_heath7), Communications Manager at Creative Commons *Authors of full paper & link at the

Category iconResearch Summaries

June 8, 2020

Research summary: Evasion Attacks Against Machine Learning at Test Time

Summary contributed by Erick Galinkin (@ErickGalinkin), Principal AI Researcher at Rapid7 (Authors of full paper & link at the

Category iconResearch Summaries

June 4, 2020

Participatory Design to build better contact- and proximity-tracing apps

Full paper in PDF formDownload Below is the abstract from the full paper, authored by Abhishek Gupta and Tania De Gasperis. (equal contributions

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June 4, 2020

Response to Scotland’s AI Strategy

Our full response to Scotland's AI StrategyDownload Below is an excerpt from the full report. The Scotland documents we're responding to: Scoping

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May 20, 2020

Research summary: Warning Signs: The Future of Privacy and Security in the Age of Machine Learning

Summary contributed by Victoria Heath (@victoria_heath7), Communications Manager at Creative Commons Authors of full paper: Sophie

Category iconResearch Summaries

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  • This work is licensed under a Creative Commons Attribution 4.0 International License.
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