{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T16:15:29Z","timestamp":1781799329700,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Vannevar Bush Faculty Fellowship Program"},{"name":"CFI grant"},{"name":"NSERC grant"},{"name":"Army Research Office","award":["MURI grant"],"award-info":[{"award-number":["MURI grant"]}]},{"name":"Simons Foundation","award":["Simons Investigator Award"],"award-info":[{"award-number":["Simons Investigator Award"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403219","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:03:55Z","timestamp":1597964635000},"page":"1677-1687","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":78,"title":["Aligning Superhuman AI with Human Behavior"],"prefix":"10.1145","author":[{"given":"Reid","family":"McIlroy-Young","sequence":"first","affiliation":[{"name":"University of Toronto, Toronto, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siddhartha","family":"Sen","sequence":"additional","affiliation":[{"name":"Microsoft Research, New York City, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jon","family":"Kleinberg","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashton","family":"Anderson","sequence":"additional","affiliation":[{"name":"University of Toronto, Toronto, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Assessing human error against a benchmark of perfection. ACM Transactions on Knowledge Discovery from Data (TKDD)","author":"Anderson Ashton","year":"2017","unstructured":"Ashton Anderson , Jon Kleinberg , and Sendhil Mullainathan . 2017. Assessing human error against a benchmark of perfection. ACM Transactions on Knowledge Discovery from Data (TKDD) , Vol. 11 , 4 ( 2017 ), 45. Ashton Anderson, Jon Kleinberg, and Sendhil Mullainathan. 2017. Assessing human error against a benchmark of perfection. ACM Transactions on Knowledge Discovery from Data (TKDD) , Vol. 11, 4 (2017), 45."},{"key":"e_1_3_2_2_2_1","volume":"198","author":"Anderson John R","unstructured":"John R Anderson , C Franklin Boyle , and Brian J Reiser. 198 5. Intelligent tutoring systems. Science , Vol. 228, 4698 (1985), 456--462. John R Anderson, C Franklin Boyle, and Brian J Reiser. 1985. Intelligent tutoring systems. Science , Vol. 228, 4698 (1985), 456--462.","journal-title":"Brian J Reiser."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2015.233"},{"key":"e_1_3_2_2_4_1","volume-title":"The impact of chess research on cognitive science. Psychological research","author":"Charness Neil","year":"1992","unstructured":"Neil Charness . 1992. The impact of chess research on cognitive science. Psychological research , Vol. 54 , 1 ( 1992 ), 4--9. Neil Charness. 1992. The impact of chess research on cognitive science. Psychological research , Vol. 54, 1 (1992), 4--9."},{"key":"e_1_3_2_2_6_1","volume-title":"Nature","volume":"542","author":"Esteva Andre","year":"2017","unstructured":"Andre Esteva , Brett Kuprel , Roberto A Novoa , Justin Ko , Susan M Swetter , Helen M Blau , and Sebastian Thrun . 2017 . Dermatologist-level classification of skin cancer with deep neural networks . Nature , Vol. 542 , 7639 (2017), 115--118. Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, and Sebastian Thrun. 2017. Dermatologist-level classification of skin cancer with deep neural networks. Nature , Vol. 542, 7639 (2017), 115--118."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/302979.303030"},{"key":"e_1_3_2_2_8_1","volume-title":"a Drosophila of reasoning. Science","author":"Kasparov Garry","year":"2018","unstructured":"Garry Kasparov . 2018. Chess , a Drosophila of reasoning. Science ( 2018 ). Garry Kasparov. 2018. Chess, a Drosophila of reasoning. Science (2018)."},{"key":"e_1_3_2_2_9_1","volume-title":"Human reliability assessment","author":"Kirwan Barry","unstructured":"Barry Kirwan . 1993. Human reliability assessment . Wiley , London, England . Barry Kirwan. 1993. Human reliability assessment .Wiley, London, England."},{"key":"e_1_3_2_2_10_1","volume-title":"Human decisions and machine predictions. The quarterly journal of economics","author":"Kleinberg Jon","year":"2018","unstructured":"Jon Kleinberg , Himabindu Lakkaraju , Jure Leskovec , Jens Ludwig , and Sendhil Mullainathan . 2018. Human decisions and machine predictions. The quarterly journal of economics , Vol. 133 , 1 ( 2018 ), 237--293. Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. 2018. Human decisions and machine predictions. The quarterly journal of economics , Vol. 133, 1 (2018), 237--293."},{"key":"e_1_3_2_2_11_1","volume-title":"The mythos of model interpretability. CACM","author":"Lipton Zachary C.","year":"2018","unstructured":"Zachary C. Lipton . 2018. The mythos of model interpretability. CACM ( 2018 ). Zachary C. Lipton. 2018. The mythos of model interpretability. CACM (2018)."},{"key":"e_1_3_2_2_12_1","volume-title":"Computers, chess, and cognition","author":"McCarthy John","unstructured":"John McCarthy . 1990. Chess as the Drosophila of AI . In Computers, chess, and cognition . Springer , New York, NY , 227--237. John McCarthy. 1990. Chess as the Drosophila of AI. In Computers, chess, and cognition . Springer, New York, NY, 227--237."},{"key":"e_1_3_2_2_13_1","volume-title":"Handbook of human factors and ergonomics","author":"Salvendy Gavriel","unstructured":"Gavriel Salvendy . 2012. Handbook of human factors and ergonomics . Wiley , NJ. Gavriel Salvendy. 2012. Handbook of human factors and ergonomics .Wiley, NJ."},{"key":"e_1_3_2_2_14_1","volume-title":"et almbox","author":"Silver David","year":"2018","unstructured":"David Silver , Thomas Hubert , Julian Schrittwieser , Ioannis Antonoglou , Matthew Lai , Arthur Guez , Marc Lanctot , Laurent Sifre , Dharshan Kumaran , Thore Graepel , et almbox . 2018 . A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science ( 2018). David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, et almbox. 2018. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science (2018)."},{"key":"e_1_3_2_2_15_1","volume-title":"et almbox","author":"Silver David","year":"2017","unstructured":"David Silver , Julian Schrittwieser , Karen Simonyan , Ioannis Antonoglou , Aja Huang , Arthur Guez , Thomas Hubert , Lucas Baker , Matthew Lai , Adrian Bolton , et almbox . 2017 . Mastering the game of go without human knowledge. Nature ( 2017). David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et almbox. 2017. Mastering the game of go without human knowledge. Nature (2017)."},{"key":"e_1_3_2_2_17_1","unstructured":"Wikipedia. 2020. Top Chess Engine Championship. en.wikipedia.org\/wiki\/Top_Chess_Engine_Championship#Tournament_results_(TCEC) . Accessed: 20-02-09.  Wikipedia. 2020. Top Chess Engine Championship. en.wikipedia.org\/wiki\/Top_Chess_Engine_Championship#Tournament_results_(TCEC) . Accessed: 20-02-09."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssa.12227"}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403219","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403219","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403219","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:46Z","timestamp":1750197706000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403219"}},"subtitle":["Chess as a Model System"],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":16,"alternative-id":["10.1145\/3394486.3403219","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403219","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}