• 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
  • AI Ethics Brief
  • 🇫🇷
  • State of AI Ethics
    • Volume 6 (February 2022)
    • Volume 5 (July 2021)
    • Volume 4 (April 2021)
    • Volume 3 (Jan 2021)
    • Volume 2 (Oct 2020)
    • Volume 1 (June 2020)
Montreal AI Ethics Institute

Montreal AI Ethics Institute

Democratizing AI ethics literacy

The State of AI Ethics Report (June 2020)

June 24, 2020

Full report in PDF formDownload

Introduction (Excerpt from full report)

These past few months have been especially challenging, and the deployment of technology in ways hitherto untested at an unrivaled pace has left the internet and technology watchers aghast. Artificial intelligence has become the byword for technological progress and is being used in everything from helping us combat the COVID-19 pandemic to nudging our attention in different directions as we all spend increasingly larger amounts of time online.

It has never been more important that we keep a sharp eye out on the development of this field and how it is shaping our society and interactions with each other. With this inaugural edition of the State of AI Ethics we hope to bring forward the most important developments that caught our attention at the Montreal AI Ethics Institute this past quarter. Our goal is to help you navigate this ever-evolving field swiftly and allow you and your organization to make informed decisions.

This pulse-check for the state of discourse, research, and development is geared towards researchers and practitioners alike who are making decisions on behalf of their organizations in considering the societal impacts of AI-enabled solutions.

We cover a wide set of areas in this report spanning Agency and Responsibility, Security and Risk, Disinformation, Jobs and Labor, the Future of AI Ethics, and more. Our staff has worked tirelessly over the past quarter surfacing signal from the noise so that you are equipped with the right tools and knowledge to confidently tread this complex yet consequential domain.

To stay up-to-date with the work at MAIEI, including our public competence building, we encourage you to stay tuned on https://montrealethics.ai which has information on all of our research.

We hope you find this useful and look forward to hearing from you!


Wishing you well,
Abhishek Gupta
Founder, Montreal AI Ethics Institute

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

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

related posts

  • Learning to Prompt in the Classroom to Understand AI Limits: A pilot study

    Learning to Prompt in the Classroom to Understand AI Limits: A pilot study

  • Research summary:  The Flight to Safety-Critical AI

    Research summary: The Flight to Safety-Critical AI

  • Attacking Fake News Detectors via Manipulating News Social Engagement

    Attacking Fake News Detectors via Manipulating News Social Engagement

  • RAIN Africa and MAIEI on The Future of Responsible AI in Africa (Public Consultation Summary)

    RAIN Africa and MAIEI on The Future of Responsible AI in Africa (Public Consultation Summary)

  • Corporate Governance of Artificial Intelligence in the Public Interest

    Corporate Governance of Artificial Intelligence in the Public Interest

  • Fairness Uncertainty Quantification: How certain are you that the model is fair?

    Fairness Uncertainty Quantification: How certain are you that the model is fair?

  • Research Summary: The cognitive science of fake news

    Research Summary: The cognitive science of fake news

  • The struggle for recognition in the age of facial recognition technology

    The struggle for recognition in the age of facial recognition technology

  • Research Summary: Geo-indistinguishability: Differential privacy for location-based systems

    Research Summary: Geo-indistinguishability: Differential privacy for location-based systems

  • Research summary: Social Work Thinking for UX and AI Design

    Research summary: Social Work Thinking for UX and AI Design

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

  • © 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.