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Montreal AI Ethics Institute

Montreal AI Ethics Institute

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Health

On the Actionability of Outcome Prediction

February 1, 2024

🔬 Research Summary by Lydia T. Liu, a postdoctoral researcher at Cornell University and incoming assistant professor of computer science at Princeton University. [Original paper by Lydia T. Liu, Solon Barocas, … [Read more...] about On the Actionability of Outcome Prediction

Low-Resource Languages Jailbreak GPT-4

February 1, 2024

🔬 Research Summary by Zheng-Xin Yong, a Computer Science Ph.D. candidate at Brown University, focusing on inclusive and responsible AI by building multilingual large language models and making them more representative … [Read more...] about Low-Resource Languages Jailbreak GPT-4

Harnessing Collective Intelligence Under a Lack of Cultural Consensus

January 27, 2024

🔬 Research Summary by Necdet Gürkan, a Ph.D. candidate at the Stevens Institute of Technology, is working with Jordan W. Suchow and exploring the intersection of cognitive science and information … [Read more...] about Harnessing Collective Intelligence Under a Lack of Cultural Consensus

On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model

January 27, 2024

🔬 Research Summary by Teresa Scantamburlo, an Assistant Professor at Ca’ Foscari University of Venice (Italy). She works at the intersection of computer science and applied ethics, focusing on AI governance and human … [Read more...] about On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model

Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles

January 25, 2024

🔬 Research Summary by Sonali Singh, a Ph.D. Student at Texas Tech University working on Large language model(LLM). [Original paper by Sonali Singh, Faranak Abri, and Akbar Siami Namin] Overview: This paper … [Read more...] about Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion Principles

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Tech Futures: AI For and Against Knowledge

A brightly coloured illustration which can be viewed in any direction. It has many elements to it working together: men in suits around a table, someone in a data centre, big hands controlling the scenes and holding a phone, people in a production line. Motifs such as network diagrams and melting emojis are placed throughout the busy vignettes.

Tech Futures: The Fossil Fuels Playbook for Big Tech: Part II

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Tech Futures: The Fossil Fuels Playbook for Big Tech: Part I

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Tech Futures: The threat of AI-generated code to the world’s digital infrastructure

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Dreams and Realities in Modi’s AI Impact Summit

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