Our AI Ethics Community Partners
     

What We Do

     

The MAIEI Fellowship

Headquartered in Montreal, Canada, the Montreal AI Ethics Institute (MAIEI) is now accepting fellowship applications for our inaugural 2019-2020 cohort. MAIEI will select individuals from around the world for a one-year, non-residential program designed to amplify their work on the impact of artificial intelligence in society.

Deadline for applications: May 1st, 2019

Learn more

 

Our Next AI Ethics Meetup

 

Team


Abhishek Gupta

Abhishek Gupta

Founder

Also a Machine Learning Engineer at Microsoft, where he serves on the CSE AI Ethics Review Board to build AI responsibly.





Renjie Butalid

Renjie Butalid

Co-Founder

Also the Associate Director of the McGill Dobson Centre, Renjie recently raised $7M+ to power university entrepreneurship.





Mirka Snyder Caron

Mirka Snyder Caron

Associate

Mirka Snyder Caron is a certified lawyer who worked in-house at National Bank for 4 years, addressing issues like IP, FinTech, and Big Data.




Our latest work

Andrew Ng’s AI For Everyone – The Definitive Starting Block for AI Novices

At the end of every AI event this year, a common question from audiences has been “What can I do to get into AI”? People want to use artificial intelligence as a lever to boost their career success and create more value in the world. Up until now, our best answer has been “read everything […]

Interview with Borealis AI

Northern Frontier sat down with Abhishek Gupta, AI ethics researcher at McGill University and founder of the Montreal AI Ethics Institute, to dive into some of the key themes of the day, including the threat automation poses to job loss based on the current science, whether bias is the biggest problem we face in responsible […]

Artificial Intelligence as a Force for Good

Recent breakthroughs in artificial intelligence offer enormous benefits for mission-driven organizations and could eventually revolutionize how they work. Our hope is that the social change sector will more fully embrace machine learning as a way to strengthen its work, stretch philanthropic dollars, and expand its impact.

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