The State of AI Ethics Report (October 2020)
Abstract
The 2nd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in the field of AI Ethics since July 2020. This report aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the ever-changing developments in the field. Through research and article summaries, as well as expert commentary, this report distills the research and reporting surrounding various domains related to the ethics of AI, including: AI and society, bias and algorithmic justice, disinformation, humans and AI, labor impacts, privacy, risk, and future of AI ethics. In addition, The State of AI Ethics includes exclusive content written by world-class AI Ethics experts from universities, research institutes, consulting firms, and governments. These experts include: Danit Gal (Tech Advisor, United Nations), Amba Kak (Director of Global Policy and Programs, NYU's AI Now Institute), Rumman Chowdhury (Global Lead for Responsible AI, Accenture), Brent Barron (Director of Strategic Projects and Knowledge Management, CIFAR), Adam Murray (U.S. Diplomat working on tech policy, Chair of the OECD Network on AI), Thomas Kochan (Professor, MIT Sloan School of Management), and Katya Klinova (AI and Economy Program Lead, Partnership on AI). This report should be used not only as a point of reference and insight on the latest thinking in the field of AI Ethics, but should also be used as a tool for introspection as we aim to foster a more nuanced conversation regarding the impacts of AI on the world.
Cite
@article{arxiv.2011.02787,
title = {The State of AI Ethics Report (October 2020)},
author = {Abhishek Gupta and Alexandrine Royer and Victoria Heath and Connor Wright and Camylle Lanteigne and Allison Cohen and Marianna Bergamaschi Ganapini and Muriam Fancy and Erick Galinkin and Ryan Khurana and Mo Akif and Renjie Butalid and Falaah Arif Khan and Masa Sweidan and Audrey Balogh},
journal= {arXiv preprint arXiv:2011.02787},
year = {2020}
}
Comments
158 pages