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03338aam a2200385 i 4500 001 7820C1FCFF9A11E9A2D37E2597128E48 003 SILO 005 20191105010136 008 181227s2019 maua b 001 0 eng 010 $a 2018060952 020 $a 0262043041 020 $a 9780262043045 035 $a (OCoLC)1081370434 040 $a DLC $b eng $e rda $c DLC $d OCLCF $d OCLCO $d YDX $d BDX $d MYG $d YDX $d CNO $d SILO 042 $a pcc 050 00 $a Q334.7 $b .S65 2019 082 00 $a 006.3 $2 23 100 1 $a Smith, Brian Cantwell $e author. 245 14 $a The promise of artificial intelligence : $b reckoning and judgment / $c Brian Cantwell Smith. 264 1 $a Cambridge, Massachusetts : $b The MIT Press, $c [2019] 300 $a xx, 157 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references and index. 520 $a An argument that--despite dramatic advances in the field--artificial intelligence is nowhere near developing systems that are genuinely intelligent.In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability reckoning, and argues that it does not lead to full human judgment--dispassionate, deliberative thought grounded in ethical commitment and responsible action. Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins (good old-fashioned AI, or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself--what sort humans have, and what sort AI aims at. Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world. 505 0 $a Intro; Contents; Preface; Introduction; 1. Background; 2. History; 3. Failure; 4. Transition; 5. Machine Learning; 6. Assessment; 7. Epistemological Challenges; 8. Objects; 9. World; 10. Reckoning and Judgment; 11. Discussion; 12. Application; 13. Conclusion; References; Index 650 0 $a Artificial intelligence $x Philosophy. 650 0 $a Artificial intelligence $x Social aspects. 650 7 $a Artificial intelligence. $2 fast $0 (OCoLC)fst00817247 650 7 $a Artificial intelligence $x Social aspects. $2 fast $0 (OCoLC)fst00817279 941 $a 4 952 $l FGPD194 $d 20240515012753.0 952 $l FXPH314 $d 20220909055357.0 952 $l GAAX314 $d 20220730010115.0 952 $l USUX851 $d 20191204013858.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=7820C1FCFF9A11E9A2D37E2597128E48 994 $a 92 $b IWAInitiate Another SILO Locator Search