000 03931nam a2200517 i 4500
001 on1427948148
003 EBZ
005 20260714115950.0
006 m d
007 cr cnu---unuuu
008 240307s2024 njua ob 001 0 eng
010 _a 2024001331
020 _a0691249644
_qelectronic book
020 _a9780691249643
_q(electronic bk.)
020 _z9780691249131
_qhardcover
037 _a10614694
_bIEEE
037 _aDA282783-F46D-4556-A93A-5CD04E82BAB4
_bOverDrive, Inc.
_nhttp://www.overdrive.com
040 _aEBZ
_beng
_cEBZ
042 _apcc
049 _aMAIN
050 0 4 _aQ335
_b.N368 2024
082 0 0 _a006.3
_223/eng/20240324
100 1 _aNarayanan, Arvind,
_eauthor.
_1https://id.oclc.org/worldcat/entity/E39PBJkHpC3FTTHvhRr7tBP4v3
245 1 0 _aAI snake oil :
_bwhat artificial intelligence can do, what it can't, and how to tell the difference /
_cArvind Narayanan & Sayash Kapoor.
246 3 0 _aArtificial intelligence snake oil
246 3 0 _aWhat artificial intelligence can do, what it can't, and how to tell the difference
264 1 _aPrinceton, New Jersey :
_bPrinceton University Press,
_c[2024]
300 _a1 online resource (x, 348 pages) :
_billustrations (chiefly color)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
341 0 _atextual
_2sapdv
_3EBSCOhost
504 _aIncludes bibliographical references and index.
520 _a"A trade book that argues that predictive AI is snake oil: it cannot and will never work. Artificial Intelligence is an umbrella term for a set of loosely related technologies. For instance, ChatGPT has little in common with algorithms that banks use to evaluate loan applicants. Both of these are referred to as AI, but in all of the salient ways - how they work, what they're used for and by whom, and how they fail - they couldn't be more different. Understanding the fundamental differences between AI technologies is critical for a technologically literate public to evaluate how AI is being used all around us. In this book, Arvind Narayanan and Sayash Kapoor explain the major strains of AI in use today: generative AI, predictive AI, and AI for content moderation. They show readers how to differentiate between them and, importantly, make a cogent argument for which types of AI can work well and which can never work, because of their inherent limitations. AI in this latter category, the authors argue, is AI snake oil: it does not and cannot work. More precisely, generative AI is imperfect but can be used for good once we learn how to apply it appropriately, whereas predictive AI can never work - in spite of the fact that it's being sold and marketed today in products - because we have never been able to accurately predict human behavior"--
_cProvided by publisher.
532 0 _a"EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025.
588 _aDescription based on online resource; title from digital title page (viewed on September 12, 2024).
590 _aAdded to collection customer.56279.3
650 0 _aArtificial intelligence.
650 7 _aartificial intelligence.
_2aat
650 7 _aCOMPUTERS / Intelligence (AI) & Semantics.
_2bisacsh
655 4 _aElectronic books.
700 1 _aKapoor, Sayash,
_d1996-
_eauthor.
776 0 8 _iPrint version:
_aNarayanan, Arvind.
_tAI snake oil
_dPrinceton : Princeton University Press, [2024]
_z9780691249131
_w(DLC) 2024001330
856 4 0 _3EBSCOhost
_uhttp://search-ebscohost-com.mlisicats.remotexs.co/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3887798
942 _2lcc
_cEB
999 _c2712
_d2712