The AI Ethics Brief #55: State of AI Ethics Panel, Our Top 10 Posts of Q1, 2021

Welcome to another edition of the Montreal AI Ethics Institute’s weekly newsletter that will help you navigate the fast-changing world of AI Ethics! This week is a retrospective roundup post. More about us at montrealethics.ai/about.


We understand that you may not always have the time to read the Brief every week. That’s why every quarter, we round up what our readers loved reading, and share the best posts with you. This way, you never miss the highlights!

But first, our call-to-action this week:

Sign up to attend our next State of AI Ethics Panel!

Now that we’re nearly halfway through 2021, what’s next for AI Ethics? Hear from a world-class panel, including:

  • Soraj Hongladarom — Professor of Philosophy and Director, Center for Science, Technology and Society at Chulalongkorn University in Bangkok (@Sonamsangbo)

  • Dr. Alexa Hagerty — Anthropologist, University of Cambridge’s Centre for the Study of Existential Risk (@anthroptimist)

  • Connor Leahy — Leader at EleutherAI (@NPCollapse)

  • Stella Biderman — Leader at EleutherAI (@BlancheMinerva)

  • Victoria Heath (Moderator) — Associate Director of Governance & Strategy, Montreal AI Ethics Institute (@victoria_heath7)

  • Abhishek Gupta - Founder, Montreal AI Ethics Institute (@atg_abhishek)

If you want some background on the topic before the discussion, flip through The State of AI Ethics Report (Volume 4), which includes contributions from each of the panelists.

📅 May 26th (Wednesday)
🕛12 PM - 1:30 PM EST
🎫 Get free tickets

Register now


Our Top 10 Posts of Q1, 2021

  1. The State of AI Ethics Report (January 2021)

Overview of AI Ethics research & reporting in Q4, 2020.

  1. The Ethics of Emotion in AI Systems

This paper provides an overview of the current emotion models and the range of proxy variables used to design AI-powered emotion recognition technology.

  1. We interviewed 3 experts who teach Tech Ethics. Here’s what we learned.

We bring to you the ideas, experiences and suggestions of 3 thought leaders with a long track record in developing Tech Ethics curricula.

  1. The Short Anthropological Guide to the Study of Ethical AI

To encourage social scientists — anthropologists in particular, to play a part in orienting the future of AI, we wrote the 'Short Anthropological Guide to Ethical AI' to serve as an intro to the field of AI ethics.

  1. Social Robots and Empathy: The Harmful Effects of Always Getting What We Want

This paper asserts that social robots and empathizing with social robots may negatively affect our ability to empathize with other humans.

  1. The Chinese Approach to AI: An Analysis of Policy, Ethics, and Regulation

This paper explores current China’s current AI policies, their future plans, and ethical standards they’re working on.

  1. How Do We Teach Tech Ethics? How Should We?

We need to find the best ways to equip people with the necessary tools to become better digital citizens who are able to take action effectively.

  1. The Role of Arts in Shaping AI Ethics

Art is an important tool for educating society about our cultural and natural histories. It’s also useful for identifying and solving our present challenges.

  1. Algorithmic Impact Assessments – What Impact Do They Have?

To be effective in addressing issues of transparency, fairness, and accountability, the impacts identified in algorithmic impact assessments need to represent harms as closely as possible.

  1. Sociological Perspectives on Artificial Intelligence: A Typological Reading

This paper surveys the existing sociological literature on AI. The author provides researchers new to the field with a typology of three analytical categories: scientific AI, technical AI and cultural AI.


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