• 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

MAIEI

Probing Networked Agency: Where is the Locus of Moral Responsibility?

December 2, 2019

By Audrey Balogh (Philosophy, McGill University) This paper problematizes the case for autonomous robots as loci of moral responsibility in circuits of networked agency, namely by troubling an analogy drawn … [Read more...] about Probing Networked Agency: Where is the Locus of Moral Responsibility?

Anthropomorphized AI as Capitalist Agents: The Price We Pay for Familiarity

October 14, 2019

By Dalia Renzullo (Philosophy, McGill University) Abstract: The development of anthropomorphic AI technology is part of a process of social acclimatization that facilitates its use for capitalist goals. It is … [Read more...] about Anthropomorphized AI as Capitalist Agents: The Price We Pay for Familiarity

3 activism lessons from Jane Goodall you can apply in AI Ethics

October 8, 2019

Jane Goodall, one of the world’s most influential and beloved advocates for nature conservation, delivered the 2019 Beatty Lecture at McGill University on Thursday, September 26. Dr. Goodall delivered her first Beatty … [Read more...] about 3 activism lessons from Jane Goodall you can apply in AI Ethics

AI in Finance: 8 Frequently Asked Questions

September 22, 2019

By Abhishek Gupta (Founder of the Montreal AI Ethics Institute, and Machine Learning Engineer at Microsoft, where he sits on the AI Ethics Review Board for Commercial Software Engineering) 1: What are the ethical … [Read more...] about AI in Finance: 8 Frequently Asked Questions

How Kathleen Siminyu created Kenya’s go-to space for Women in Machine Learning

August 19, 2019

Kathleen Siminyu is a data scientist & machine learning engineer who is Regional Coordinator for the Artificial Intelligence for Development - Africa Network. She is Co-Founder of the Nairobi Women in Machine … [Read more...] about How Kathleen Siminyu created Kenya’s go-to space for Women in Machine Learning

« 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.