Written by Kenny Song (@helloksong). Co-founder of Citadel AI. Fundamentally, a machine learning model is just a software program: it takes an input, steps through a series of computations, and produces an output. … [Read more...] about Breaking Your Neural Network with Adversarial Examples
The Political Power of Platforms: How Current Attempts to Regulate Misinformation Amplify Opinion Power (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: Tackling the latest European … [Read more...] about The Political Power of Platforms: How Current Attempts to Regulate Misinformation Amplify Opinion Power (Research Summary)
Hazard Contribution Modes of Machine Learning Components (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 Hazard Contribution Modes of Machine Learning Components (Research Summary)
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks (Research Summary)
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: As neural networks, and … [Read more...] about The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks (Research Summary)
Perspectives and Approaches in AI Ethics: East Asia (Research Summary)
Summary contributed by our researcher Victoria Heath (@victoria_heath7), who's also a Communications Manager at Creative Commons. *Link to original paper + authors at the bottom. Overview: This research … [Read more...] about Perspectives and Approaches in AI Ethics: East Asia (Research Summary)