• 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

Research Summaries

On the sui generis value capture of new digital technologies: The case of AI

June 1, 2023

🔬 Research Summary by Dr. Emre Kazim and Airlie Hilliard Emre Kazim, Co-CEO @ Holistic AI - AI Risk Management & Auditing Platform Airlie Hilliard, Senior Researcher, Holistic AI | Doctoral Researcher, … [Read more...] about On the sui generis value capture of new digital technologies: The case of AI

Equal Improvability: A New Fairness Notion Considering the Long-term Impact

June 1, 2023

🔬 Research Summary by Ozgur Guldogan, Yuchen Zeng,  Jy-yong Sohn, Ramtin Pedarsani, and Kangwook Lee Ozgur Guldogan is a Ph.D. student at the University of California, Santa Barbara. His research interests are … [Read more...] about Equal Improvability: A New Fairness Notion Considering the Long-term Impact

Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable

May 31, 2023

🔬 Research Summary by Kenneth Church, a researcher who works on natural language processing, information retrieval, artificial intelligence and machine learning. [Original paper by Kenneth Church, Annika Schoene, … [Read more...] about Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable

Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue

May 31, 2023

🔬 Research Summary by Travis Greene, an Assistant Professor at Copenhagen Business School's Department of Digitalization with an interdisciplinary background in philosophy and research interests in data science ethics … [Read more...] about Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue

Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences

May 31, 2023

🔬 Research Summary by Lin Guan, a Ph.D. student at the School of Computing and Augmented Intelligence at Arizona State University, working at the Yochan Lab (AI Lab) under the supervision of Dr. Subbarao … [Read more...] about Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences

« Previous Page
Next Page »

Primary Sidebar

🔍 SEARCH

Spotlight

AI Policy Corner: Singapore’s National AI Strategy 2.0

AI Governance in a Competitive World: Balancing Innovation, Regulation and Ethics | Point Zero Forum 2025

AI Policy Corner: Frontier AI Safety Commitments, AI Seoul Summit 2024

AI Policy Corner: The Colorado State Deepfakes Act

Special Edition: Honouring the Legacy of Abhishek Gupta (1992–2024)

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.