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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy.

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Research Summaries

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

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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

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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

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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

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May 20, 2020

Research summary: Troubling Trends in Machine Learning Scholarship

Mini summary (scroll down for full summary): With the explosion of people working in the domain of ML and the prevalence of the use of preprint

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May 20, 2020

Research summary: Social Biases in NLP Models as Barriers for Persons with Disabilities

Mini summary (scroll down for full summary): When studying for biases in NLP models, there is not enough of a focus on the impacts that phrases

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May 14, 2020

Research summary: Learning to Diversify from Human Judgments – Research Directions and Open Challenges

Mini summary (scroll down for full summary): Current algorithmic techniques frame the notion of diversity in the sense of using the presence of

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May 14, 2020

Research summary: Adversarial Machine Learning – Industry Perspectives

Mini summary (scroll down for full summary): An emerging area of concern for companies that are seeing heavy deployments of ML systems in the

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May 3, 2020

Research summary: Politics of Adversarial Machine Learning

Mini summary (scroll down for full summary): A very timely paper that in the post-ClearviewAI world brings forth some important issues about how

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May 3, 2020

Research summary: Technology-Enabled Disinformation: Summary, Lessons, and Recommendations

Mini summary (scroll down for full summary): The upcoming election cycle and the current pandemic have made all of us into inveterate consumers of

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May 2, 2020

Research summary: Health Care, Capabilities, and AI Assistive Technologies

Mini summary (scroll down for full summary): The adoption of AI-enabled solutions in the healthcare industry has accelerated with the ongoing pandemic

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April 26, 2020

Research summary: Using Multimodal Sensing to Improve Awareness in Human-AI Interaction

Top-level summary: With increasing capabilities of AI systems, and established research that demonstrates how human-machine combinations operate

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