• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

  • Articles
    • Public Policy
    • Privacy & Security
    • Human Rights
      • Ethics
      • JEDI (Justice, Equity, Diversity, Inclusion
    • Climate
    • Design
      • Emerging Technology
    • Application & Adoption
      • Health
      • Education
      • Government
        • Military
        • Public Works
      • Labour
    • Arts & Culture
      • Film & TV
      • Music
      • Pop Culture
      • Digital Art
  • Columns
    • AI Policy Corner
    • Recess
  • The AI Ethics Brief
  • AI Literacy
    • Research Summaries
    • AI Ethics Living Dictionary
    • Learning Community
  • The State of AI Ethics Report
    • Volume 7 (November 2025)
    • Volume 6 (February 2022)
    • Volume 5 (July 2021)
    • Volume 4 (April 2021)
    • Volume 3 (Jan 2021)
    • Volume 2 (Oct 2020)
    • Volume 1 (June 2020)
  • About
    • Our Contributions Policy
    • Our Open Access Policy
    • Contact
    • Donate

Articles

Universal and Transferable Adversarial Attacks on Aligned Language Models

December 2, 2023

🔬 Research Summary by Andy Zou, a second-year PhD student at CMU, advised by Zico Kolter and Matt Fredrikson. He is also a cofounder of the Center for AI Safety (safe.ai). [Original paper by Andy Zou, Zifan … [Read more...] about Universal and Transferable Adversarial Attacks on Aligned Language Models

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

December 2, 2023

🔬 Research Summary by Ahmad Faiz, Masters in Data Science student at Indiana University Bloomington. [Original paper by Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Parteek Sharma, Fan Chen, and Lei … [Read more...] about LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models

Engaging the Public in AI’s Journey: Lessons from the UK AI Safety Summit on Standards, Policy, and Contextual Awareness

November 29, 2023

✍️ Column by Connor Wright, our Partnerships Manager. Overview: The Montreal AI Ethics Institute is a partner organization with Partnership on AI (PAI). Our Partnerships Manager, Connor, attended their UK AI … [Read more...] about Engaging the Public in AI’s Journey: Lessons from the UK AI Safety Summit on Standards, Policy, and Contextual Awareness

Distributed Governance: a Principal-Agent Approach to Data Governance – Part 1 Background & Core Definitions

November 25, 2023

🔬 Research Summary by Dr. Philippe Page, trained as a theoretical physicist developed a career in international banking before focusing energy on the next generation of internet as a Trustee of the Human Colossus … [Read more...] about Distributed Governance: a Principal-Agent Approach to Data Governance – Part 1 Background & Core Definitions

Exploring XAI for the Arts: Explaining Latent Space in Generative Music

November 25, 2023

🔬 Research Summary by Nick Bryan-Kinns, Professor of Creative Computing at the Creative Computing Institute, University of the Arts London, where he researches the human-centred approaches to the use of AI in the Arts. … [Read more...] about Exploring XAI for the Arts: Explaining Latent Space in Generative Music

« Previous Page
Next Page »

Primary Sidebar

🔍 SEARCH

Spotlight

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

AI Policy Corner: Restriction vs. Regulation: Comparing State Approaches to AI Mental Health Legislation

Partners

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

  • Partnership on AI

  • The LF AI & Data Foundation

  • The AI Alliance

Footer


Articles

Columns

AI Literacy

The State of AI Ethics Report


 

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.

Contact

Donate


  • © 2025 MONTREAL AI ETHICS INSTITUTE.
  • 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.