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.

Dr Gebru, a leading Artificial Intelligence ethics researcher, says she was fired late last year after sending an internal email that accused Google of "silencing marginalised voices". However, Google claims she left the company.

This book has been adapted in large part from the author's doctoral thesis [Shortliffe, l 974b]. Portions of the work appeared previously in Computers And Biomedical Research [Shortliffe, 1973, l 975b], Mathematical Biosciences [Shortliffe, 1975a], and the Proceedings Of The Thirteenth San Diego Biomedical Symposium [Shortliffe, l 974a]. To Stanford's Medical Scientist Training Program, which is supported by the National Institutes of Health Contents

Edward H. Shortliffe Chapter 6 Details of the Revised Therapy Algorithm

The editors have provided him with special introductory sections as a ing guide to a thorough understand of the reports.

Effect of the Tutorial The tutorial experience had a small but significant effect on physicians' Demands and also produced a substantial increase in their knowledge about computing concepts. The results from the Demand-scale were of particular interest. Physicians apparently gained new insights from the tutorial into the potential use and capabilities of medical computing and increased their performance Demands accordingly. These opinions regarding the attributes of acceptable computing systems were surprisingly uniform across physician subgroups both before and after the tutorial. Our interpretation of this result is that physicians are serious about these Demands and that consultation systems are not likely to be clinically effective, regardless of the accuracy of their advice, until these capabilities have been incorporated.