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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy.

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Research Summaries

May 26, 2022

Episodio 3 – Idoia Salazar: Sobre la Vital Importancia de Educar al Ciudadano en los Usos Responsables de la Inteligencia Artificial

🔬 Research summary by Connor Wright, our Partnerships Manager. [Original work by Juan Carlos Muñoz e Idoia Salazar] NOTE: This is a special

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May 26, 2022

Ethics of AI‑Enabled Recruiting and Selection: A Review and Research Agenda

🔬 Research Summary by Anna Lena Hunkenschroer; Christoph Luetge. Anna is a business consultant and PhD student at Technical University of Munich,

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May 26, 2022

Ethics in the Software Development Process: from Codes of Conduct to Ethical Deliberation

🔬 Research Summary by Jan Gogoll, a postdoctoral researcher at the Bavarian Institute of Digital Transformation and an Affiliate Researcher at the

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May 26, 2022

A survey on adversarial attacks and defences

🔬 Research Summary by Max Krueger, a consultant at Accenture with an interest in both the long and short-term implications of AI on

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May 26, 2022

2022 AI Index Report – Technical AI Ethics Chapter

🔬 Research Summary by Helen Ngo, an affiliated researcher with the AI Index at Stanford HAI. She can be found on

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May 26, 2022

A Generalist Agent

🔬 Research Summary by Nora Belrose, Frances Lorenz, Jon Menaster. Nora is an independent AI researcher focusing on active reward learning and

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May 22, 2022

Labor and Fraud on the Google Play Store: The Case of Install-Incentivizing Apps

🔬 Research Summary by Ashwin S., a research associate at PreCog, Center for Computational Science, IIIT Hyderabad, India. Their research focuses on

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May 22, 2022

Government AI Readiness 2021 Index

🔬 Research Summary by Sulamaan Rahim, Partnerships Associate at Oxford insights, where he leads on bid writing and partnerships. [Original

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May 22, 2022

Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems

🔬 Research Summary by Thomas Krendl Gilbert, a Postdoctoral Fellow at Cornell Tech’s Digital Life Initiative, and has a Ph.D. in Machine Ethics and

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May 22, 2022

Beyond the Frontier: Fairness Without Accuracy Loss

🔬 Research Summary by Rishi Balakrishnan, a student at UC Berkeley passionate about algorithmic fairness, privacy, and trustworthy AI more broadly.

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May 18, 2022

The Social Metaverse: Battle for Privacy

🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Ben Falchuk, Shoshana Loeb, and Ralph Neff] Overview:

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May 18, 2022

The 28 Computer Vision Datasets Used in Algorithmic Fairness Research

🔬 Research summary by Julienne LaChance, PhD (SonyAI, AI Ethics) and Alessandro Fabris (University of Padua). Dr. Julienne LaChance, an AI Research

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