• 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

Public Policy

The Limits of Global Inclusion in AI Development (Research Summary)

February 8, 2021

🔬 Research summary contributed by Alexandrine Royer, our Educational Program Manager. [Link to original paper + authors at the bottom] Overview: Western AI institutions have started to involve more diverse … [Read more...] about The Limits of Global Inclusion in AI Development (Research Summary)

Bridging the Gap: The Case For an ‘Incompletely Theorized Agreement’ on AI Policy (Research Summary)

February 2, 2021

[Link to original paper at the bottom] Overview: In this paper, Charlotte Stix and Matthijs Maas argue for more collaboration between those focused on 'near-term' and 'long-term' problems in AI ethics and policy. … [Read more...] about Bridging the Gap: The Case For an ‘Incompletely Theorized Agreement’ on AI Policy (Research Summary)

Diagnosing Gender Bias In Image Recognition Systems (Research Summary)

February 2, 2021

🔬 Research summary contributed by Nga Than (@NgaThanNYC), a doctoral candidate in the Sociology program at City University of New York – The Graduate Center. ✍️ This piece is part of the ongoing Sociology of AI … [Read more...] about Diagnosing Gender Bias In Image Recognition Systems (Research Summary)

The Ethics Owners — A New Model of Organizational Responsibility in Data-Driven Technology Companies (Research Summary)

February 1, 2021

🔬 Research summary contributed by Muriam Fancy, our Network Engagement Manager. [Link to original paper + authors at the bottom] Overview: The responsibility of ethics owners is to navigate challenging … [Read more...] about The Ethics Owners — A New Model of Organizational Responsibility in Data-Driven Technology Companies (Research Summary)

The Sociology of AI Ethics (Column Introduction)

January 19, 2021

AI research, development and deployment have “a social sciences deficit.” Predominantly AI systems are built by technologists, using datasets that are often divorced from the collection contexts. After they have been … [Read more...] about The Sociology of AI Ethics (Column Introduction)

« Previous Page
Next Page »

Primary Sidebar

🔍 SEARCH

Spotlight

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

Beyond Consultation: Building Inclusive AI Governance for Canada’s Democratic Future

AI Policy Corner: U.S. Executive Order on Advancing AI Education for American Youth

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.