{"id":"https://openalex.org/W3004725011","doi":"https://doi.org/10.1145/3375627.3375825","title":"Learning Norms from Stories","display_name":"Learning Norms from Stories","publication_year":2020,"publication_date":"2020-02-05","ids":{"openalex":"https://openalex.org/W3004725011","doi":"https://doi.org/10.1145/3375627.3375825","mag":"3004725011"},"language":"en","primary_location":{"id":"doi:10.1145/3375627.3375825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3375627.3375825","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3375627.3375825","source":{"id":"https://openalex.org/S5407048695","display_name":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","issn_l":"3065-8365","issn":["3065-8365"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3375627.3375825","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081575225","display_name":"Md Sultan Al Nahian","orcid":"https://orcid.org/0009-0001-8016-806X"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Sultan Al Nahian","raw_affiliation_strings":["University of Kentucky, Lexington, KY, USA"],"affiliations":[{"raw_affiliation_string":"University of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030393924","display_name":"Spencer Frazier","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Spencer Frazier","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061883150","display_name":"Mark Riedl","orcid":"https://orcid.org/0000-0001-5283-6588"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Riedl","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047163199","display_name":"Brent Harrison","orcid":"https://orcid.org/0000-0002-1301-5928"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brent Harrison","raw_affiliation_strings":["University of Kentucky, Lexington, KY, USA"],"affiliations":[{"raw_affiliation_string":"University of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081575225"],"corresponding_institution_ids":["https://openalex.org/I143302722"],"apc_list":null,"apc_paid":null,"fwci":1.6313,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86993284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normative","display_name":"Normative","score":0.819355309009552},{"id":"https://openalex.org/keywords/imitation","display_name":"Imitation","score":0.770285964012146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6800576448440552},{"id":"https://openalex.org/keywords/comics","display_name":"Comics","score":0.6384769678115845},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.6099675893783569},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5748616456985474},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5592032670974731},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5501459836959839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5480626821517944},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.46555808186531067},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.43094396591186523},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4204239249229431},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3537113666534424},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3470945954322815},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3041851818561554},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.28868287801742554},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1752849519252777},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.14282992482185364},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12718254327774048},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09252890944480896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07493972778320312}],"concepts":[{"id":"https://openalex.org/C44725695","wikidata":"https://www.wikidata.org/wiki/Q288156","display_name":"Normative","level":2,"score":0.819355309009552},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.770285964012146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6800576448440552},{"id":"https://openalex.org/C529099274","wikidata":"https://www.wikidata.org/wiki/Q1004","display_name":"Comics","level":2,"score":0.6384769678115845},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.6099675893783569},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5748616456985474},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5592032670974731},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5501459836959839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5480626821517944},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.46555808186531067},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.43094396591186523},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4204239249229431},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3537113666534424},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3470945954322815},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3041851818561554},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28868287801742554},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1752849519252777},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.14282992482185364},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12718254327774048},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09252890944480896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07493972778320312},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3375627.3375825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3375627.3375825","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3375627.3375825","source":{"id":"https://openalex.org/S5407048695","display_name":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","issn_l":"3065-8365","issn":["3065-8365"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3375627.3375825","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3375627.3375825","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3375627.3375825","source":{"id":"https://openalex.org/S5407048695","display_name":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","issn_l":"3065-8365","issn":["3065-8365"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G8345472565","display_name":null,"funder_award_id":"1849231","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004725011.pdf","grobid_xml":"https://content.openalex.org/works/W3004725011.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1556726625","https://openalex.org/W1583953806","https://openalex.org/W2037413600","https://openalex.org/W2039436023","https://openalex.org/W2143063108","https://openalex.org/W2148112459","https://openalex.org/W2165065252","https://openalex.org/W2240086230","https://openalex.org/W2557026499","https://openalex.org/W2740721704","https://openalex.org/W2899832021","https://openalex.org/W2963289505","https://openalex.org/W2964263543","https://openalex.org/W2988680279","https://openalex.org/W2990138404","https://openalex.org/W3093882308"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W3201315974"],"abstract_inverted_index":{"Value":[0],"alignment":[1,27],"is":[2,54,66],"a":[3,46,51],"property":[4],"of":[5,38,91],"an":[6],"intelligent":[7],"agent":[8],"indicating":[9],"that":[10,18],"it":[11],"can":[12],"only":[13],"pursue":[14],"goals":[15],"and":[16],"activities":[17],"are":[19],"beneficial":[20],"to":[21,25,34,86,120,126],"humans.":[22],"Traditional":[23],"approaches":[24],"value":[26],"use":[28],"imitation":[29],"learning":[30,33,84],"or":[31,100],"preference":[32],"infer":[35],"the":[36,69,95,108,115,131],"values":[37],"humans":[39],"by":[40,102],"observing":[41],"their":[42],"behavior.":[43,111],"We":[44,112],"introduce":[45],"complementary":[47],"technique":[48],"in":[49,94],"which":[50,60],"value-aligned":[52],"prior":[53],"learned":[55],"from":[56,68],"naturally":[57],"occurring":[58],"stories":[59],"encode":[61],"societal":[62],"norms.":[63],"Training":[64],"data":[65],"sourced":[67],"children's":[70],"educational":[71],"comic":[72,96],"strip,":[73],"Goofus":[74],"&":[75],"Gallant.":[76],"In":[77],"this":[78],"work,":[79],"we":[80],"train":[81],"multiple":[82],"machine":[83],"models":[85],"classify":[87],"natural":[88],"language":[89],"descriptions":[90],"situations":[92],"found":[93],"strip":[97],"as":[98],"normative":[99],"non-normative":[101],"identifying":[103],"if":[104],"they":[105],"align":[106],"with":[107,124],"main":[109],"characters'":[110],"also":[113],"report":[114],"models'":[116],"performance":[117],"when":[118],"transferring":[119],"two":[121],"unrelated":[122],"tasks":[123],"little":[125],"no":[127],"additional":[128],"training":[129],"on":[130],"new":[132],"task.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}