 First edition | |
| Author | Kate Crawford |
|---|---|
| Language | English |
| Genre | Philosophy of artificial intelligence |
| Publisher | Yale University Press |
Publication date | May 25, 2021 |
| Media type | Paperback, hardback |
| Pages | 336 pp |
| ISBN | 9780300209570 |
Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence is a book by Australian academic Kate Crawford. It is based on Crawford's research into the development and labor behind artificial intelligence, as well as AI's impact on the world.
The book is mainly concerned with the ethics of artificial intelligence. Chapters 1 and 2 criticise Big Tech in general for exploitation of Earth's resources, such as in the Thacker Pass Lithium Mine, and human labor, such as in Amazon warehouses and the Amazon Mechanical Turk. Crawford also compares "TrueTime" in Google's Spanner with historical efforts to control time associated with colonialism. In Chapters 3 and 4, attention is drawn to the practice of building datasets without consent, and of training on incorrect or biased data, with particular focus on ImageNet and on a failed Amazon project to classify job applicants. Chapter 5 criticises affective computing for employing training sets which, although natural, were labelled by people who had been grounded in controversial emotional expression research by Paul Ekman, in particular his Facial Action Coding System (FACS), which had been based on posed images; it is implied that Affectiva's approach would not sufficiently attenuate the problems of FACS, and attention is drawn to potential inaccurate use of this technology in job interviews without addressing claims that human bias is worse. In Chapter 6, Crawford gives an overview of the secret services' surveillance software as revealed in the leaks of Edward Snowden, with a brief comparison to Cambridge Analytica and the military use of metadata, and recounts Google employees' objections to their unwitting involvement in Project Maven (giving their image recognition a military use) before this was moved to Palantir. Chapter 7 criticises the common perception of AlphaGo as an otherworldly intelligence instead of a natural product of massive brute-force calculation at environmental cost, and Chapter 8 discusses tech billionaires' fantasies of developing private spaceflight to escape resource depletion on Earth.
The book received positive reviews from critics, who singled out its exploration of issues like exploitation of labour and the environment, algorithmic bias, and false claims about AI's ability to recognize human emotion. [1] [2]
The book was considered a seminal work by Anais Resseguier of Ethics and AI. [3] It was included on the year end booklists of Financial Times , [4] and New Scientist , [5] and the 2021 Choice Outstanding Academic Titles booklist. [6]
Data scientist and MIT Technology Review editor Karen Hao praised the book's description of the ethical concerns regarding the labor and history behind artificial intelligence. [7]
Sue Halpern of The New York Review commented that she felt the book shined a light on "dehumanizing extractive practices", [8] a sentiment which was echoed by Michael Spezio of Science. [9] Virginia Dignum of Nature positively compared the book's exploration of artificial intelligence to The Alignment Problem by Brian Christian. [10]
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software which enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals. Such machines may be called AIs.
Eliezer S. Yudkowsky is an American artificial intelligence researcher and writer on decision theory and ethics, best known for popularizing ideas related to friendly artificial intelligence. He is the founder of and a research fellow at the Machine Intelligence Research Institute (MIRI), a private research nonprofit based in Berkeley, California. His work on the prospect of a runaway intelligence explosion influenced philosopher Nick Bostrom's 2014 book Superintelligence: Paths, Dangers, Strategies.
Kate Crawford is a researcher, writer, composer, producer and academic, who studies the social and political implications of artificial intelligence. She is based in New York and works as a principal researcher at Microsoft Research, the co-founder and former director of research at the AI Now Institute at NYU, a visiting professor at the MIT Center for Civic Media, a senior fellow at the Information Law Institute at NYU, and an associate professor in the Journalism and Media Research Centre at the University of New South Wales. She is also a member of the WEF's Global Agenda Council on Data-Driven Development.
The ethics of artificial intelligence is the branch of the ethics of technology specific to artificial intelligence (AI) systems.
Machine ethics is a part of the ethics of artificial intelligence concerned with adding or ensuring moral behaviors of man-made machines that use artificial intelligence, otherwise known as artificial intelligent agents. Machine ethics differs from other ethical fields related to engineering and technology. It should not be confused with computer ethics, which focuses on human use of computers. It should also be distinguished from the philosophy of technology, which concerns itself with technology's grander social effects.
Francesca Rossi is an Italian computer scientist, currently working at the IBM Thomas J. Watson Research Center as an IBM Fellow and the IBM AI Ethics Global Leader.
Kate Devlin, born Adela Katharine Devlin is a Northern Irish computer scientist specialising in Artificial intelligence and Human–computer interaction (HCI). She is best known for her work on human sexuality and robotics and was co-chair of the annual Love and Sex With Robots convention in 2016 held in London and was founder of the UK's first ever sex tech hackathon held in 2016 at Goldsmiths, University of London. She is Senior Lecturer in Social and Cultural Artificial Intelligence in the Department of Digital Humanities, King's College London and is the author of Turned On: Science, Sex and Robots in addition to several academic papers.
Algorithmic bias describes systematic and repeatable errors in a computer system that create "unfair" outcomes, such as "privileging" one category over another in ways different from the intended function of the algorithm.
Joanna Joy Bryson is professor at Hertie School in Berlin. She works on Artificial Intelligence, ethics and collaborative cognition. She has been a British citizen since 2007.
Meredith Whittaker is the president of the Signal Foundation and serves on its board of directors. She was formerly the Minderoo Research Professor at New York University (NYU), and the co-founder and faculty director of the AI Now Institute. She also served as a senior advisor on AI to Chair Lina Khan at the Federal Trade Commission. Whittaker was employed at Google for 13 years, where she founded Google's Open Research group and co-founded the M-Lab. In 2018, she was a core organizer of the Google Walkouts and resigned from the company in July 2019.
The AI Now Institute is an American research institute studying the social implications of artificial intelligence and policy research that addresses the concentration of power in the tech industry. AI Now has partnered with organizations such as the Distributed AI Research Institute (DAIR), Data & Society, Ada Lovelace Institute, New York University Tandon School of Engineering, New York University Center for Data Science, Partnership on AI, and the ACLU. AI Now has produced annual reports that examine the social implications of artificial intelligence. In 2021-2, AI Now’s leadership served as a Senior Advisors on AI to Chair Lina Khan at the Federal Trade Commission. Its executive director is Amba Kak.
Timnit Gebru is an Eritrean Ethiopian-born computer scientist who works in the fields of artificial intelligence (AI), algorithmic bias and data mining. She is an advocate for diversity in technology and co-founder of Black in AI, a community of Black researchers working in AI. She is the founder of the Distributed Artificial Intelligence Research Institute (DAIR).
ACM Conference on Fairness, Accountability, and Transparency is a peer-reviewed academic conference series about ethics and computing systems. Sponsored by the Association for Computing Machinery, this conference focuses on issues such as algorithmic transparency, fairness in machine learning, bias, and ethics from a multi-disciplinary perspective. The conference community includes computer scientists, statisticians, social scientists, scholars of law, and others.
The regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI); it is therefore related to the broader regulation of algorithms. The regulatory and policy landscape for AI is an emerging issue in jurisdictions globally, including in the European Union and in supra-national bodies like the IEEE, OECD and others. Since 2016, a wave of AI ethics guidelines have been published in order to maintain social control over the technology. Regulation is considered necessary to both encourage AI and manage associated risks. In addition to regulation, AI-deploying organizations need to play a central role in creating and deploying trustworthy AI in line with the principles of trustworthy AI, and take accountability to mitigate the risks. Regulation of AI through mechanisms such as review boards can also be seen as social means to approach the AI control problem.
The Algorithmic Justice League (AJL) is a digital advocacy non-profit organization based in Cambridge, Massachusetts. Founded in 2016 by computer scientist Joy Buolamwini, the AJL uses research, artwork, and policy advocacy to increase societal awareness regarding the use of artificial intelligence (AI) in society and the harms and biases that AI can pose to society. The AJL has engaged in a variety of open online seminars, media appearances, and tech advocacy initiatives to communicate information about bias in AI systems and promote industry and government action to mitigate against the creation and deployment of biased AI systems. In 2021, Fast Company named AJL as one of the 10 most innovative AI companies in the world.
Rashida Richardson is a visiting scholar at Rutgers Law School and the Rutgers Institute for Information Policy and the Law and an attorney advisor to the Federal Trade Commission. She is also an assistant professor of law and political science at the Northeastern University School of Law and the Northeastern University Department of Political Science in the College of Social Sciences and Humanities.
Black in AI, formally called the Black in AI Workshop, is a technology research organization and affinity group, founded by computer scientists Timnit Gebru and Rediet Abebe in 2017. It started as a conference workshop, later pivoting into an organization. Black in AI increases the presence and inclusion of Black people in the field of artificial intelligence (AI) by creating space for sharing ideas, fostering collaborations, mentorship, and advocacy.
The Alignment Problem: Machine Learning and Human Values is a 2020 non-fiction book by the American writer Brian Christian. It is based on numerous interviews with experts trying to build artificial intelligence systems, particularly machine learning systems, that are aligned with human values.
Tess Posner is an American social entrepreneur and musician best known for her work in artificial intelligence advocacy and ethics, focusing on increasing equity and inclusion in technology.
The AAAI/ACM Conference on AI, Ethics, and Society (AIES) is a peer-reviewed academic conference series focused on societal and ethical aspects of artificial intelligence. The conference is jointly organized by the Association for Computing Machinery, namely the Special Interest Group on Artificial Intelligence (SIGAI), and the Association for the Advancement of Artificial Intelligence, and "is designed to shift the dynamics of the conversation on AI and ethics to concrete actions that scientists, businesses and society alike can take to ensure this promising technology is ushered into the world responsibility." The conference community includes lawyers, practitioners, and academics in computer science, philosophy, public policy, economics, human-computer interaction, and more.
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