• 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

Design

Towards Climate Awareness in NLP Research

May 27, 2023

🔬 Research Summary by Daniel Hershcovich, a Tenure-Track Assistant Professor at the Department of Computer Science, University of Copenhagen, working on meaning representation and on promoting sustainable and responsible … [Read more...] about Towards Climate Awareness in NLP Research

Mapping the Design Space of Human-AI Interaction in Text Summarization

May 27, 2023

🔬 Research Summary by Ruijia “Regina” Cheng, a PhD candidate in the department of Human Centered Design and Engineering at University of Washington. Her research focuses on improving the experience of people in learning … [Read more...] about Mapping the Design Space of Human-AI Interaction in Text Summarization

Studying up Machine Learning Data: Why Talk About Bias When We Mean Power?

May 27, 2023

🔬 Research Summary by Shreyasha Paudel, a Ph.D. student at the University of Toronto with an interdisciplinary research focus that combines Human-Computer Interaction with critical theories from social sciences. Her … [Read more...] about Studying up Machine Learning Data: Why Talk About Bias When We Mean Power?

Responsible AI In Healthcare

May 22, 2023

🔬 Research Summary by Federico Cabitza, Davide Ciucci, Gabriella Pasi, and Marco Viviani Federico Cabitza is an Associate Professor at the University of Milano-Bicocca, Department of Informatics, Systems, and … [Read more...] about Responsible AI In Healthcare

Looking before we leap: Expanding ethical review processes for AI and data science research

May 21, 2023

🔬 Research Summary by Ismael Kherroubi Garcia, trained in business management, and philosophy of the social sciences. He is the founder and CEO of Kairoi, the AI Ethics and Research Governance Consultancy. … [Read more...] about Looking before we leap: Expanding ethical review processes for AI and data science research

« Previous Page
Next Page »

Primary Sidebar

🔍 SEARCH

Spotlight

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

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

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.