The 3rd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in AI Ethics since October 2020. It aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly digest and understand the field's ever-changing developments. 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: algorithmic injustice, discrimination, ethical AI, labor impacts, misinformation, privacy, risk and security, social media, and more. 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. Unique to this report is "The Abuse and Misogynoir Playbook," written by Dr. Katlyn Tuner (Research Scientist, Space Enabled Research Group, MIT), Dr. Danielle Wood (Assistant Professor, Program in Media Arts and Sciences; Assistant Professor, Aeronautics and Astronautics; Lead, Space Enabled Research Group, MIT) and Dr. Catherine D'Ignazio (Assistant Professor, Urban Science and Planning; Director, Data + Feminism Lab, MIT). The piece (and accompanying infographic), is a deep-dive into the historical and systematic silencing, erasure, and revision of Black women's contributions to knowledge and scholarship in the United Stations, and globally. Exposing and countering this Playbook has become increasingly important following the firing of AI Ethics expert Dr. Timnit Gebru (and several of her supporters) at Google. 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.
翻译:蒙特利尔AI道德研究所第三版《AI道德状况》反映了自2020年10月以来AI道德方面最相关的发展,目的是帮助任何人,从机器学习专家到人权活动家和决策者,迅速消化和理解该领域不断变化的发展。通过研究和文章摘要以及专家评论,本报告总结了围绕与AI道德有关的各种领域的研究和报告,包括:算法不公正、歧视、伦理AI、劳动影响、错误信息、隐私、风险和安全、社交媒体等。此外,AI道德状况包括由大学、研究机构、咨询公司和政府的世界级AI道德专家撰写的独家内容。本报告的独家之处是“滥用和Misogynoir游戏手册”,由Katlyn Tuner博士(研究科学家、空间促进研究组、麻省理学组)、Daniel Wood博士(媒体艺术和科学方案助理教授;助理教授、航空和航天局;铅、空间促进研究组、麻省理学和博士(助理教授、城市科学和规划部)编写的独家性内容。 数据库、数据+数据系统化的伦理学,作为历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、历史、