• Skip to main content
  • Skip to primary sidebar
  • Skip to footer
  • Core Principles of Responsible AI
    • Accountability
    • Fairness
    • Privacy
    • Safety and Security
    • Sustainability
    • Transparency
  • Special Topics
    • AI in Industry
    • Ethical Implications
    • Human-Centered Design
    • Regulatory Landscape
    • Technical Methods
  • Living Dictionary
  • State of AI Ethics
  • AI Ethics Brief
  • 🇫🇷
Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

The State of AI Ethics Report (Oct 2020)

October 28, 2020

Full report in PDF formDownload

The State of AI Ethics Report (October 2020) captures the most relevant developments in AI Ethics since July of 2020. (see our June report here) Our goal is to save you time by quickly getting you up to speed on what happened in the past quarter. We do this by distilling the research and reporting surrounding various domains related to AI Ethics, including:

  1. AI & Society
  2. Bias & Algorithmic Injustice
  3. Disinformation
  4. Humans & AI
  5. Labor Impacts
  6. Privacy
  7. Risk
  8. Future of AI Ethics
  9. Outside the Boxes

This time, the report goes beyond summaries and commentary — it includes exclusive content written by world-class AI Ethics experts from a diversity of organizations including universities, research institutes, consulting firms, and government, including:

  • Danit Gal (Tech Advisor, United Nations)
  • Amba Kak (Director of Global Policy & Programs, NYU’s AI Now Institute)
  • Rumman Chowdhury (Global Lead for Responsible AI, Accenture)
  • Brent Barron (Director of Strategic Projects & Knowledge Management, CIFAR)
  • Adam Murray (U.S. Diplomat working on tech policy, Chair of the OECD Network on AI)
  • Thomas Kochan (Professor, MIT Sloan School of Management)
  • Katya Klinova (AI & Economy Program Lead, Partnership on AI)
Full report in PDF formDownload

Want quick summaries of the latest research & reporting in AI ethics delivered to your inbox? Subscribe to the AI Ethics Brief. We publish bi-weekly.

Primary Sidebar

🔍 SEARCH

Spotlight

AI Policy Corner: The Kenya National AI Strategy

AI Policy Corner: New York City Local Law 144

Canada’s Minister of AI and Digital Innovation is a Historic First. Here’s What We Recommend.

Am I Literate? Redefining Literacy in the Age of Artificial Intelligence

AI Policy Corner: The Texas Responsible AI Governance Act

related posts

  • The Grand Illusion: The Myth of Software Portability and Implications for ML Progress

    The Grand Illusion: The Myth of Software Portability and Implications for ML Progress

  • REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research

    REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research

  • Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems

    Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems

  • Towards Environmentally Equitable AI via Geographical Load Balancing

    Towards Environmentally Equitable AI via Geographical Load Balancing

  • Why reciprocity prohibits autonomous weapons systems in war

    Why reciprocity prohibits autonomous weapons systems in war

  • Enough With “Human-AI Collaboration”

    Enough With “Human-AI Collaboration”

  • Research summary: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand

    Research summary: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand

  • Embedded ethics: a proposal for integrating ethics into the development of medical AI

    Embedded ethics: a proposal for integrating ethics into the development of medical AI

  • Understanding Toxicity Triggers on Reddit in the Context of Singapore

    Understanding Toxicity Triggers on Reddit in the Context of Singapore

  • On Human-AI Collaboration in Artistic Performance

    On Human-AI Collaboration in Artistic Performance

Partners

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

  • Partnership on AI

  • The LF AI & Data Foundation

  • The AI Alliance

Footer

Categories


• Blog
• Research Summaries
• Columns
• Core Principles of Responsible AI
• Special Topics

Signature Content


• The State Of AI Ethics

• The Living Dictionary

• The AI Ethics Brief

Learn More


• About

• Open Access Policy

• Contributions Policy

• Editorial Stance on AI Tools

• Press

• Donate

• Contact

The AI Ethics Brief (bi-weekly newsletter)

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.


Archive

  • © MONTREAL AI ETHICS INSTITUTE. All rights reserved 2024.
  • 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.