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Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy.

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Blog

September 27, 2023

Bias and Fairness in Large Language Models: A Survey

馃敩 Research Summary by Isabel O. Gallegos, a Ph.D. student in Computer Science at Stanford University, researching algorithmic fairness to interrogate

Category iconResearch Summaries

September 27, 2023

On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise

馃敩 Research Summary by Lauren Arthur, Marketing Director at Hazy, a leading synthetic data company. [Original paper by Georgi Ganev, Jason

Category iconResearch Summaries

September 27, 2023

Listen to What They Say: Better Understand and Detect Online Misinformation with User Feedback

馃敩 Research Summary by Hubert Etienne, a researcher in AI ethics, the former Global Generative AI Ethics Lead at Meta and the inventor of Computational

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September 27, 2023

Conversational Swarm Intelligence (CSI) Enhances Groupwise Deliberation

馃敩 Research Summary by Louis Rosenberg, PhD, Chief Scientist of Unanimous AI and a former professor at California State University. [Original

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September 25, 2023

Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street-level Decision-Making

馃敩 Research Summary by Devansh Saxena, a Presidential Postdoctoral Fellow at Carnegie Mellon University in the Human-Computer Interaction Institute. He

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September 21, 2023

The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance

馃敩 Research Summary by Blair Attard-Frost, a PhD Candidate and SSHRC Joseph-Armand Bombardier Canada Graduate Scholar at the University of Toronto鈥檚

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September 21, 2023

Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making

馃敩 Research Summary by Min Lee, an Assistant Professor in Computer Science at Singapore Management University, where he creates and evaluates

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September 21, 2023

The Design Space of Generative Models

馃敩 Research Summary by Meredith Ringel Morris, Director of Human-AI Interaction Research at Google DeepMind; she is also an Affiliate Professor at the

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September 21, 2023

Towards Healthy AI: Large Language Models Need Therapists Too

馃敩 Research Summary by Baihan Lin, PhD, a computational neuroscientist and AI researcher at Columbia University and IBM Thomas J Watson Research

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September 20, 2023

Value-based Fast and Slow AI Nudging

馃敩 Research summary by Dr. Marianna Ganapini, our Faculty Director. [Original paper by Marianna B. Ganapini, Francesco Fabiano, Lior Horesh,

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September 20, 2023

AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics

馃敩 Research Summary by Vahid Ghafouri, a Ph.D. student in Telematics at IMDEA Networks Institute working on the application of NLP to measure online

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September 16, 2023

Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research

馃敩 Research Summary by Anna Leschanowsky, a research associate at Fraunhofer IIS in Germany working at the intersection of voice technology,

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