{"id":"https://openalex.org/W4281782792","doi":"https://doi.org/10.1007/s10610-022-09516-8","title":"Predicting Recidivism Risk Meets AI Act","display_name":"Predicting Recidivism Risk Meets AI Act","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4281782792","doi":"https://doi.org/10.1007/s10610-022-09516-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10610-022-09516-8","doi":"https://doi.org/10.1007/s10610-022-09516-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10610-022-09516-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10610-022-09516-8.pdf","source":{"id":"https://openalex.org/S146174905","display_name":"European Journal on Criminal Policy and Research","issn_l":"0928-1371","issn":["0928-1371","1572-9869"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Journal on Criminal Policy and Research","raw_type":"journal-article"},"volume":null,"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10610-022-09516-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054598855","display_name":"Gijs VAN DIJCK","orcid":"https://orcid.org/0000-0003-4102-4415","observed_orcids":["https://orcid.org/0000-0003-4102-4415"]},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Gijs van Dijck","raw_affiliation_strings":["Professor of Law and Director of the Maastricht Law and Tech Lab at Maastricht University, Maastricht, the Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-4102-4415","affiliations":[{"raw_affiliation_string":"Professor of Law and Director of the Maastricht Law and Tech Lab at Maastricht University, Maastricht, the Netherlands","institution_ids":["https://openalex.org/I34352273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054598855"],"corresponding_institution_ids":["https://openalex.org/I34352273"],"apc_list":{"value":2780,"currency":"USD","value_usd":2780},"apc_paid":{"value":2780,"currency":"USD","value_usd":2780},"fwci":23.9734,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.99506667,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"3","first_page":"407","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9384999871253967,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9384999871253967,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T13643","display_name":"Artificial Intelligence in Law","score":0.03970000147819519,"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/T13364","display_name":"Digitalization, Law, and Regulation","score":0.014000000432133675,"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/recidivism-risk-assessment","display_name":"recidivism risk assessment","score":0.9879999756813049},{"id":"https://openalex.org/keywords/eu-ai-act","display_name":"EU AI Act","score":0.6800000071525574},{"id":"https://openalex.org/keywords/algorithmic-discrimination","display_name":"algorithmic discrimination","score":0.7080000042915344},{"id":"https://openalex.org/keywords/algorithmic-fairness","display_name":"algorithmic fairness","score":0.6669999957084656},{"id":"https://openalex.org/keywords/human-oversight","display_name":"human oversight","score":0.8080000281333923},{"id":"https://openalex.org/keywords/pretrial-detention","display_name":"pretrial detention","score":0.8339999914169312},{"id":"https://openalex.org/keywords/sentencing","display_name":"sentencing","score":0.7210000157356262},{"id":"https://openalex.org/keywords/parole","display_name":"parole","score":0.8270000219345093},{"id":"https://openalex.org/keywords/data-quality","display_name":"data quality","score":0.5070000290870667},{"id":"https://openalex.org/keywords/model-quality","display_name":"model quality","score":0.5329999923706055},{"id":"https://openalex.org/keywords/algorithmic-justice","display_name":"algorithmic justice","score":0.34200000762939453}],"concepts":[{"id":"https://openalex.org/C2776090404","wikidata":"https://www.wikidata.org/wiki/Q1420643","display_name":"Recidivism","level":2,"score":0.9571460485458374},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.6851863265037537},{"id":"https://openalex.org/C2777351106","wikidata":"https://www.wikidata.org/wiki/Q49371","display_name":"Legislation","level":2,"score":0.5905675292015076},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.5873639583587646},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5322228670120239},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5262795090675354},{"id":"https://openalex.org/C7991579","wikidata":"https://www.wikidata.org/wiki/Q17955","display_name":"Criticism","level":2,"score":0.5043727159500122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44119614362716675},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3877127468585968},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.32172656059265137},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.28273141384124756},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2472483217716217},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.24522283673286438},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19014471769332886},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s10610-022-09516-8","doi":"https://doi.org/10.1007/s10610-022-09516-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10610-022-09516-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10610-022-09516-8.pdf","source":{"id":"https://openalex.org/S146174905","display_name":"European Journal on Criminal Policy and Research","issn_l":"0928-1371","issn":["0928-1371","1572-9869"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Journal on Criminal Policy and Research","raw_type":"journal-article"},{"id":"doi:10.21428/cb6ab371.cc7e83ba","doi":"https://doi.org/10.21428/cb6ab371.cc7e83ba","is_oa":true,"landing_page_url":"https://doi.org/10.21428/cb6ab371.cc7e83ba","pdf_url":"https://www.crimrxiv.com/pub/cf41xebe/download/pdf","source":{"id":"https://openalex.org/S4306507144","display_name":"CrimRxiv","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CrimRxiv","raw_type":"journal-article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/ce3be0a6-8b4e-40c4-9d98-6f12f25022cc","doi":null,"is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/ce3be0a6-8b4e-40c4-9d98-6f12f25022cc","pdf_url":"https://cris.maastrichtuniversity.nl/ws/files/105729315/s10610_022_09516_8.pdf","source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"van Dijck, G 2022, 'Predicting Recidivism Risk Meets AI Act', European Journal on Criminal Policy and Research, vol. 28, no. 3, pp. 407-423. https://doi.org/10.1007/s10610-022-09516-8","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/ce3be0a6-8b4e-40c4-9d98-6f12f25022cc","doi":null,"is_oa":true,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/ce3be0a6-8b4e-40c4-9d98-6f12f25022cc","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"European Journal on Criminal Policy and Research, 28(3), 407 - 423. Springer","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10610-022-09516-8","doi":"https://doi.org/10.1007/s10610-022-09516-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10610-022-09516-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10610-022-09516-8.pdf","source":{"id":"https://openalex.org/S146174905","display_name":"European Journal on Criminal Policy and Research","issn_l":"0928-1371","issn":["0928-1371","1572-9869"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Journal on Criminal Policy and Research","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/16"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281782792.pdf","grobid_xml":"https://content.openalex.org/works/W4281782792.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W165019788","https://openalex.org/W1967631753","https://openalex.org/W1994407253","https://openalex.org/W2079639318","https://openalex.org/W2120298254","https://openalex.org/W2136889310","https://openalex.org/W2150412137","https://openalex.org/W2157020070","https://openalex.org/W2164423611","https://openalex.org/W2317066593","https://openalex.org/W2331759280","https://openalex.org/W2342067889","https://openalex.org/W2515349170","https://openalex.org/W2517582969","https://openalex.org/W2546836975","https://openalex.org/W2588168955","https://openalex.org/W2606882704","https://openalex.org/W2610781641","https://openalex.org/W2748003190","https://openalex.org/W2785011159","https://openalex.org/W2899360465","https://openalex.org/W2901856814","https://openalex.org/W2903990525","https://openalex.org/W2962975506","https://openalex.org/W2974094611","https://openalex.org/W2978663162","https://openalex.org/W3006326487","https://openalex.org/W3013182397","https://openalex.org/W3209525731","https://openalex.org/W4235550021","https://openalex.org/W4292157289","https://openalex.org/W6755068292"],"related_works":["https://openalex.org/W4390234158","https://openalex.org/W4385713351","https://openalex.org/W4385348411","https://openalex.org/W4413896491","https://openalex.org/W7160841393","https://openalex.org/W3183605821","https://openalex.org/W4413515774","https://openalex.org/W4410151314","https://openalex.org/W4406712983","https://openalex.org/W4237647360"],"abstract_inverted_index":{"Abstract":[0],"Quantitative":[1],"recidivism":[2,92,166],"risk":[3,93,143,167,194],"assessment":[4,168],"can":[5],"be":[6,174],"used":[7],"at":[8],"the":[9,20,32,67,70,80,84,101,105,108,111,118,162,189,196],"pretrial":[10],"detention,":[11],"trial,":[12],"sentencing,":[13],"and":[14,48,50,78,110,116,149,199],"/":[15],"or":[16,45,54,172],"parole":[17],"stage":[18],"in":[19,88,176],"justice":[21],"system.":[22],"It":[23,95,121],"has":[24],"been":[25],"criticized":[26],"for":[27,104,188],"what":[28],"is":[29,122,156],"measured,":[30],"whether":[31,42,51],"predictions":[33],"are":[34,171,184],"more":[35,64],"accurate":[36],"than":[37,142,151],"those":[38],"made":[39],"by":[40,98],"humans,":[41],"it":[43,52],"creates":[44],"increases":[46],"inequality":[47],"discrimination,":[49],"compromises":[53],"violates":[55],"other":[56],"aspects":[57],"of":[58,69,83,107,130,164,181,192],"fairness.":[59],"This":[60,75],"criticism":[61],"becomes":[62],"even":[63],"topical":[65],"with":[66],"arrival":[68],"Artificial":[71],"Intelligence":[72],"(AI)":[73],"Act.":[74],"article":[76],"identifies":[77],"applies":[79],"relevant":[81],"rules":[82,103],"proposed":[85,102],"AI":[86,132],"Act":[87],"relation":[89],"to":[90,134,160,186],"quantitative":[91,165,193],"assessment.":[94,153],"does":[96],"so":[97],"focusing":[99],"on":[100,114,117,146],"quality":[106],"data":[109],"models":[112],"used,":[113],"biases,":[115],"human":[119,152,182],"oversight.":[120],"concluded":[123],"that":[124,136,170],"legislation":[125],"may":[126,173],"consider":[127],"requiring":[128],"providers":[129],"high-risk":[131],"systems":[133],"demonstrate":[135],"their":[137],"solution":[138],"performs":[139],"significantly":[140],"better":[141,150],"assessments":[144],"based":[145],"simple":[147],"models,":[148],"Furthermore,":[154],"there":[155],"no":[157],"single":[158],"answer":[159],"evaluate":[161],"performance":[163],"tools":[169],"deployed":[175],"practice.":[177],"Finally,":[178],"three":[179],"approaches":[180],"oversight":[183],"discussed":[185],"correct":[187],"negative":[190],"effects":[191],"assessment:":[195],"optional,":[197],"benchmark,":[198],"feedback":[200],"approach.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-02T09:45:03.842371","created_date":"2022-06-13T00:00:00"}
