• Skip to main content
  • Skip to primary sidebar
  • Skip to footer
  • Core Principles of Responsible AI
    • Accountability
    • Fairness
    • Privacy
    • Safety and Security
    • Sustainability
    • Transparency
  • Special Topics
    • AI in Industry
    • Ethical Implications
    • Human-Centered Design
    • Regulatory Landscape
    • Technical Methods
  • Living Dictionary
  • State of AI Ethics
  • AI Ethics Brief
  • 🇫🇷
Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

Research Summaries

Language Models: A Guide for the Perplexed

February 6, 2024

🔬 Research Summary by Sofia Serrano, a Ph.D. candidate in computer science at the University of Washington (and will be an Assistant Professor at Lafayette College starting in Autumn 2024), specifically focusing on the … [Read more...] about Language Models: A Guide for the Perplexed

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

« Previous Page
Next Page »

Primary Sidebar

🔍 SEARCH

Spotlight

AI Policy Corner: Frontier AI Safety Commitments, AI Seoul Summit 2024

AI Policy Corner: The Colorado State Deepfakes Act

Special Edition: Honouring the Legacy of Abhishek Gupta (1992–2024)

AI Policy Corner: The Turkish Artificial Intelligence Law Proposal

From Funding Crisis to AI Misuse: Critical Digital Rights Challenges from RightsCon 2025

Partners

  •  
    U.S. Artificial Intelligence Safety Institute Consortium (AISIC) at NIST

  • Partnership on AI

  • The LF AI & Data Foundation

  • The AI Alliance

Footer

Categories


• Blog
• Research Summaries
• Columns
• Core Principles of Responsible AI
• Special Topics

Signature Content


• The State Of AI Ethics

• The Living Dictionary

• The AI Ethics Brief

Learn More


• About

• Open Access Policy

• Contributions Policy

• Editorial Stance on AI Tools

• Press

• Donate

• Contact

The AI Ethics Brief (bi-weekly newsletter)

About Us


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.


Archive

  • © MONTREAL AI ETHICS INSTITUTE. All rights reserved 2024.
  • This work is licensed under a Creative Commons Attribution 4.0 International License.
  • Learn more about our open access policy here.
  • Creative Commons License

    Save hours of work and stay on top of Responsible AI research and reporting with our bi-weekly email newsletter.