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Atlas of AI

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Atlas of AI
First edition
AuthorKate Crawford
LanguageEnglish
GenrePhilosophy of artificial intelligence
PublisherYale University Press
Publication date
May 25, 2021
Media typePaperback, hardback
Pages336 pp
ISBN9780300209570

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.

Overview

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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.

Reception

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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]

References

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  1. ^ "Briefly Noted". The New Yorker. 5 May 2021. Retrieved 23 January 2022.
  2. ^ Grossman, Wendy M. "Atlas of AI, book review: Mapping out the total cost of artificial intelligence". ZDNet. Retrieved 23 January 2022.
  3. ^ Resseguier, Anais (25 October 2021). "Thinking AI with a hammer. Kate Crawford's Atlas of AI (2021)". AI and Ethics. 2: 247–248. doi:10.1007/s43681-021-00115-7. ISSN 2730-5961. S2CID 239934668.
  4. ^ Thornhill, John (15 November 2021). "Best books of 2021: Technology". Financial Times. Retrieved 23 January 2022.
  5. ^ Ings, Simon (1 December 2021). "The best books of 2021 - New Scientist's Christmas gift guide". New Scientist. Archived from the original on 1 December 2021. Retrieved 23 January 2022.
  6. ^ "Atlas of AI by Kate Crawford". Yale Books UK. Retrieved 23 January 2022.
  7. ^ "Stop talking about AI ethics. It's time to talk about power". MIT Technology Review. Retrieved 23 January 2022.
  8. ^ Halpern, Sue. "The Human Costs of AI". ISSN 0028-7504. Retrieved 23 January 2022.
  9. ^ Spezio, Michael (16 April 2021). "AI empires". Science. 372 (6539): 246. Bibcode:2021Sci...372..246S. doi:10.1126/science.abh2250. S2CID 233245051.
  10. ^ Dignum, Virginia (26 May 2021). "AI — the people and places that make, use and manage it". Nature. 593 (7860): 499–500. Bibcode:2021Natur.593..499D. doi:10.1038/d41586-021-01397-x. S2CID 235216649.


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