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Montreal AI Ethics Institute

Montreal AI Ethics Institute

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Articles

Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work

February 6, 2024

🔬 Research Summary by Rishab Jain, a neuroscience & AI researcher at Massachusetts General Hospital and a student at Harvard College. [Original paper by Rishab Jain and Aditya Jain] Overview: The … [Read more...] about Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly Work

SoK: The Gap Between Data Rights Ideals and Reality

February 6, 2024

🔬 Research Summary by Yujin Potter, a postdoc at UC Berkeley, focusing on AI alignment, AI safety, blockchain, and DeFi. [Original paper by Yujin Potter, Ella Corren, Gonzalo Munilla Garrido, Chris Hoofnagle, and … [Read more...] about SoK: The Gap Between Data Rights Ideals and Reality

LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games

February 5, 2024

🔬 Research Summary by Sahar Abdelnabi, a Ph.D. student at CISPA Helmholtz Center for Information Security, Germany. Her research interests lie in the intersection of machine learning, security, and … [Read more...] about LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games

Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles

February 5, 2024

🔬 Research Summary by Zhaobo Zheng, a scientist at Honda Research Institute USA, Inc. [Original paper by Minxue Niu, Zhaobo Zheng, Kumar Akash, and Teruhisa Misu] Overview: The trust in autonomous driving is … [Read more...] about Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles

“It doesn’t tell me anything about how my data is used”: User Perceptions of Data Collection Purposes

February 5, 2024

🔬 Research Summary by Lin Kyi, a Computer Science Ph.D. student at the Max Planck Institute for Security and Privacy focusing on online consent and the ethical collection of data. [Original paper by Abraham … [Read more...] about “It doesn’t tell me anything about how my data is used”: User Perceptions of Data Collection Purposes

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Illustration of a coral reef ecosystem

Tech Futures: Diversity of Thought and Experience: The UN’s Scientific Panel on AI

This image shows a large white, traditional, old building. The top half of the building represents the humanities (which is symbolised by the embedded text from classic literature which is faintly shown ontop the building). The bottom section of the building is embossed with mathematical formulas to represent the sciences. The middle layer of the image is heavily pixelated. On the steps at the front of the building there is a group of scholars, wearing formal suits and tie attire, who are standing around at the enternace talking and some of them are sitting on the steps. There are two stone, statute-like hands that are stretching the building apart from the left side. In the forefront of the image, there are 8 students - which can only be seen from the back. Their graduation gowns have bright blue hoods and they all look as though they are walking towards the old building which is in the background at a distance. There are a mix of students in the foreground.

Tech Futures: Co-opting Research and Education

Agentic AI systems and algorithmic accountability: a new era of e-commerce

ALL IN Conference 2025: Four Key Takeaways from Montreal

Beyond Dependency: The Hidden Risk of Social Comparison in Chatbot Companionship

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Founded in 2018, the Montreal AI Ethics Institute (MAIEI) is an international non-profit organization equipping citizens concerned about artificial intelligence and its impact on society to take action.

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