• 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
    • Tech Futures
  • The AI Ethics Brief
  • AI Literacy
    • Research Summaries
    • AI Ethics Living Dictionary
    • Learning Community
  • The State of AI Ethics Report
    • State of AI Ethics Report Volume 8 (2026): Call for Contributors
    • 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

Designing Fiduciary Artificial Intelligence

December 20, 2023

🔬 Research Summary by David Shekman , a third-year law student at Northwestern University Pritzker School of Law, will be practicing in San Francisco upon graduation, and is an avid data scientist. [Original … [Read more...] about Designing Fiduciary Artificial Intelligence

Regulating computer vision & the ongoing relevance of AI ethics

December 20, 2023

✍️ Column by Rosalie Waelen, a philosopher and applied ethicist, who recently completed her Ph.D. at the University of Twente (The Netherlands) and is now working as a Senior Researcher at the Sustainable AI Lab of the … [Read more...] about Regulating computer vision & the ongoing relevance of AI ethics

Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising

December 20, 2023

🔬 Research Summary by Michelle S. Lam , a Computer Science Ph.D. student at Stanford University in the Human-Computer Interaction Group, where she builds systems that empower everyday users to actively reshape the design … [Read more...] about Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising

Melting contestation: insurance fairness and machine learning

December 14, 2023

🔬 Research Summary by Laurence Barry and Arthur Charpentier. Laurence Barry is an independent actuary and a researcher at PARI (Programme de Recherche sur l’Appréhension des Risques et des Incertitudes, ENSAE/ … [Read more...] about Melting contestation: insurance fairness and machine learning

Science Communications for Explainable Artificial Intelligence

December 14, 2023

🔬 Research Summary by Simon Hudson , a writer and researcher investigating subjects in AI governance, human-machine collaboration, and Science Communications, and is currently co-leading the core team behind Botto, a … [Read more...] about Science Communications for Explainable Artificial Intelligence

« Previous Page
Next Page »

Primary Sidebar

SAIER Volume 8 (2026)

SAIER Volume 8 (2026) Call for Contributors

🔍 SEARCH

Spotlight

Vertically- and horizontally-placed chess boards and chess pieces

Tech Futures: At the Frontier of Fear, Uncertainty and Doubt

Tech Futures: Introducing the Resist List

An abstract spiral of dark circles appears at the centre, resembling a tornado. Several vintage magazine covers and advertisements are being drawn toward the spiral. The artworks that have already been pulled into it are becoming distorted and replaced with clusters of numbers representing their numerical embeddings.

Tech Futures: Better Imagination for Better Tech Futures

This image is a collage with a colourful Japanese vintage landscape showing a mountain, hills, flowers and other plants and a small stream. There are 3 large black data servers placed in the bottom half of the image, with a cloud of black smoke emitting from them, partly obscuring the scenery.

Tech Futures: Crafting Participatory Tech Futures

A network diagram with lots of little emojis, organised in clusters.

Tech Futures: AI For and Against Knowledge

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.