{"id":"https://openalex.org/W4386507930","doi":"https://doi.org/10.1145/3594536.3595128","title":"Effects of XAI on Legal Process","display_name":"Effects of XAI on Legal Process","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4386507930","doi":"https://doi.org/10.1145/3594536.3595128"},"language":"en","primary_location":{"id":"doi:10.1145/3594536.3595128","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594536.3595128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016957476","display_name":"Aileen Nielsen","orcid":"https://orcid.org/0000-0002-4389-322X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Aileen Nielsen","raw_affiliation_strings":["ETH Zurich, Center for Law and Economics"],"raw_orcid":"https://orcid.org/0000-0002-4389-322X","affiliations":[{"raw_affiliation_string":"ETH Zurich, Center for Law and Economics","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046882938","display_name":"Stavroula Skylaki","orcid":"https://orcid.org/0009-0009-4847-855X"},"institutions":[{"id":"https://openalex.org/I4210115483","display_name":"Thomson Reuters (Canada)","ror":"https://ror.org/01r4zz038","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210115483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Stavroula Skylaki","raw_affiliation_strings":["Thomson Reuters Labs"],"raw_orcid":"https://orcid.org/0009-0009-4847-855X","affiliations":[{"raw_affiliation_string":"Thomson Reuters Labs","institution_ids":["https://openalex.org/I4210115483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042650113","display_name":"Milda Norkut\u0117","orcid":"https://orcid.org/0000-0002-7817-1171"},"institutions":[{"id":"https://openalex.org/I4210115483","display_name":"Thomson Reuters (Canada)","ror":"https://ror.org/01r4zz038","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210115483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Milda Norkute","raw_affiliation_strings":["Thomson Reuters Labs"],"raw_orcid":"https://orcid.org/0000-0002-7817-1171","affiliations":[{"raw_affiliation_string":"Thomson Reuters Labs","institution_ids":["https://openalex.org/I4210115483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052319951","display_name":"Alexander Stremitzer","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alexander Stremitzer","raw_affiliation_strings":["ETH Zurich, Center for Law and Economics"],"raw_orcid":"https://orcid.org/0000-0002-7555-5903","affiliations":[{"raw_affiliation_string":"ETH Zurich, Center for Law and Economics","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016957476"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":7.2376,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96962976,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"442","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13851","display_name":"Law, AI, and Intellectual Property","score":0.9782999753952026,"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/T12755","display_name":"Legal Education and Practice Innovations","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5767619609832764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45916280150413513},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06982231140136719}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5767619609832764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45916280150413513},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06982231140136719}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594536.3595128","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594536.3595128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W624051587","https://openalex.org/W2470673105","https://openalex.org/W2493343568","https://openalex.org/W2597601064","https://openalex.org/W2891503716","https://openalex.org/W2913178420","https://openalex.org/W2963594477","https://openalex.org/W3007483279","https://openalex.org/W3138794547","https://openalex.org/W3162895869","https://openalex.org/W3183522126","https://openalex.org/W3186367509","https://openalex.org/W4226108798","https://openalex.org/W4290738699","https://openalex.org/W4300626098","https://openalex.org/W4317514376"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Despite":[0],"strong":[1],"scholarly":[2],"interest":[3],"in":[4,7,24,39,116,133],"explainable":[5],"features":[6],"AI":[8],"(XAI),":[9],"there":[10],"is":[11],"little":[12],"experimental":[13],"work":[14,110],"to":[15,72,126],"gauge":[16,128],"the":[17,29,60,66,88,96,112,129],"effect":[18,30,64,113],"of":[19,31,48,68,75,84,99,114,131],"XAI":[20,36,61,91,115,132],"on":[21,65,87,111],"human-AI":[22],"cooperation":[23],"legal":[25,50,77,117,134],"tasks.":[26],"We":[27],"study":[28,56],"textual":[32],"highlighting":[33,93],"as":[34,122,124],"an":[35],"feature":[37],"used":[38],"tandem":[40],"with":[41],"a":[42,49,53,76,102],"machine":[43],"learning":[44],"(ML)":[45],"generated":[46],"summary":[47],"complaint.":[51],"In":[52],"randomized":[54],"controlled":[55],"we":[57,80],"find":[58],"that":[59],"has":[62],"no":[63],"proportion":[67],"time":[69],"participants":[70],"devote":[71],"different":[73],"sections":[74],"document,":[78],"but":[79],"identify":[81],"potential":[82],"signs":[83],"XAI's":[85],"influence":[86],"reading":[89],"process.":[90],"attention-based":[92],"may":[94],"change":[95],"spatio-temporal":[97],"distribution":[98],"attention":[100],"allocation,":[101],"result":[103],"not":[104],"anticipated":[105],"by":[106],"previous":[107],"studies.":[108],"Future":[109],"tasks":[118],"should":[119],"measure":[120],"process":[121],"well":[123],"outcomes":[125],"better":[127],"effects":[130],"applications.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
