Summary contributed by our researcher Erick Galinkin (@ErickGalinkin), who's also Principal AI Researcher at Rapid7. *Link to original paper + authors at the bottom. Overview: Neural networks have shown … [Read more...] about The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks (Research Summary)
Exchanging Lessons Between Algorithmic Fairness and Domain Generalization (Research Summary)
Summary contributed by our Artist-in-Residence Falaah Arif Khan. She's also a Research Fellow in the CVIT Lab at the International Institute of Information Technology. Link to original paper + authors at the … [Read more...] about Exchanging Lessons Between Algorithmic Fairness and Domain Generalization (Research Summary)
Bridging the Gap Between AI and the Public (TEDxYouth@GandyStreet)
Written by Connor Wright, MAIEI researcher and research intern at FairlyAI. He is also a Philosophy student at the University of Exeter. This is an edited transcript of Connor's TEDxYouth@GandyStreet talk (video … [Read more...] about Bridging the Gap Between AI and the Public (TEDxYouth@GandyStreet)
Project Let’s Talk Privacy (Research Summary)
Summary contributed by Abhishek Gupta (@atg_abhishek), Founder and Principal Researcher of the Montreal AI Ethics Institute. His book Actionable AI Ethics will be published in 2021. *Link to original paper + … [Read more...] about Project Let’s Talk Privacy (Research Summary)
Between a Rock and a Hard Place: Freedom, Flexibility, Precarity and Vulnerability in the Gig Economy in Africa (Research Summary)
Summary contributed by our researcher Alexandrine Royer, who works at The Foundation for Genocide Education. *Link to original paper + authors at the bottom. Overview: This paper lays out the on-the-ground … [Read more...] about Between a Rock and a Hard Place: Freedom, Flexibility, Precarity and Vulnerability in the Gig Economy in Africa (Research Summary)