Weapons of Math Destruction is a 2016 American book about the societal impact of algorithms, written by Cathy O'Neil. It explores how some big data algorithms are increasingly used in ways that reinforce preexisting inequality. It was longlisted for the 2016 National Book Award for Nonfiction but did not make it through the shortlist.[1][2][3] The book has been widely reviewed,[4]
and won the Euler Book Prize.
^2016 National Book Award Longlist, Nonfiction, National Book Foundation
^"The National Book Awards Longlist: Nonfiction", The New Yorker, September 14, 2016
^Rawlins, Aimee (September 6, 2016), Math is racist: How data is driving inequality, CNN
^See:
Lozano, Guadalupe I., "Review of Weapons of Math Destruction", MathSciNet, MR 3561130
Braga, Filipe Meirelles Ferreira (June 2016), "Review of Weapons of Math Destruction", Mural Internacional, 7 (1), doi:10.12957/rmi.2016.25939
Lamb, Evelyn (August 2016), "Review of Weapons of Math Destruction", Roots of Unity, Scientific American
Shankar, Kalpana (September 2016), "A data scientist reveals how invisible algorithms perpetuate inequality (review of Weapons of Math Destruction)", Science
Doctorow, Cory (September 2016), "Weapons of Math Destruction: invisible, ubiquitous algorithms are ruining millions of lives", BoingBoing
McEvers, Kelly (September 2016), "'Weapons Of Math Destruction' outlines dangers of relying on data analytics", All Things Considered, NPR
Hayden, Robert W. (January 2017), "Review of Weapons of Math Destruction", MAA Reviews
Varis, Piia (January 2017), "Review of Weapons of Math Destruction", Diggit
Omitola, Tope (January 2017), "Review of Weapons of Math Destruction", ACM Computing Reviews
Jain, Apurv (March 2017), "Review of Weapons of Math Destruction", Business Economics, 52 (2): 123–125, doi:10.1057/s11369-017-0027-3, S2CID 157914174
Schrag, Francis (March 2017), "Review of Weapons of Math Destruction", Education Review, 24, doi:10.14507/er.v24.2197
Bradley, James (March 2017), "Review of Weapons of Math Destruction", Perspectives on Science and Christian Faith, 69 (1): 54
Maloney, Cory (Spring 2017), "Review of Weapons of Math Destruction", Journal of Markets & Morality, 20 (1): 194
Roy, Michael (April 2017), "Review of Weapons of Math Destruction", College & Research Libraries, 78 (3): 403, doi:10.5860/crl.78.3.403
Case, James (May 2017), "When big data algorithms discriminate (review of Weapons of Math Destruction", SIAM News, 50 (4)
Arslan, Faruk (July 2017), "Review of Weapons of Math Destruction", Journal of Information Privacy and Security, 13 (3): 157–159, doi:10.1080/15536548.2017.1357388, S2CID 188383106
Poovey, Mary (September 2017), "Review of Weapons of Math Destruction", Notices of the American Mathematical Society, 64 (8): 933–935, doi:10.1090/noti1561
Doyle, Tony (October 2017), "Review of Weapons of Math Destruction", The Information Society, 33 (5): 301–302, doi:10.1080/01972243.2017.1354593, S2CID 22283226
Mateen, Harris (2018), "Review of Weapons of Math Destruction", Berkeley Journal of Employment and Labor Law, 39 (1): 285–292
Tunstall, Samuel (January 2018), "Models as weapons (review of Weapons of Math Destruction", Numeracy, 11 (1), doi:10.5038/1936-4660.11.1.10
Woodson, Thomas (August 2018), "Review of Weapons of Math Destruction", Journal of Responsible Innovation, 5 (3): 361–363, doi:10.1080/23299460.2018.1495027
Bansal, Gaurav (January 2019), "Review of Weapons of Math Destruction", Journal of Information Technology Case and Application Research, 21 (1): 60–63, doi:10.1080/15228053.2019.1587571, S2CID 189618193
Verma, Shikha (June 2019), "Review of Weapons of Math Destruction", Vikalpa: The Journal for Decision Makers, 44 (2): 97–98, doi:10.1177/0256090919853933
Eusufzai, Zaki (September 2019), "Review of Weapons of Math Destruction", The Social Science Journal, 56 (3): 425–426, doi:10.1016/j.soscij.2019.04.002, S2CID 203099077
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