{"id":"https://openalex.org/W4404351453","doi":"https://doi.org/10.1145/3677052.3698655","title":"AI versus AI in Financial Crimes & Detection: GenAI Crime Waves to Co-Evolutionary AI","display_name":"AI versus AI in Financial Crimes & Detection: GenAI Crime Waves to Co-Evolutionary AI","publication_year":2024,"publication_date":"2024-11-14","ids":{"openalex":"https://openalex.org/W4404351453","doi":"https://doi.org/10.1145/3677052.3698655"},"language":"en","primary_location":{"id":"doi:10.1145/3677052.3698655","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677052.3698655","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677052.3698655","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM International Conference on AI in Finance","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3677052.3698655","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083952888","display_name":"Eren Kurshan","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eren Kurshan","raw_affiliation_strings":["Princeton University, US"],"raw_orcid":"https://orcid.org/0009-0001-8016-5563","affiliations":[{"raw_affiliation_string":"Princeton University, US","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056701307","display_name":"Dhagash Mehta","orcid":"https://orcid.org/0000-0002-1040-9032"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhagash Mehta","raw_affiliation_strings":["Blackrock, US"],"raw_orcid":"https://orcid.org/0000-0002-1040-9032","affiliations":[{"raw_affiliation_string":"Blackrock, US","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035482777","display_name":"Tucker Balch","orcid":"https://orcid.org/0000-0002-5148-2033"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tucker Balch","raw_affiliation_strings":["Emory University, US"],"raw_orcid":"https://orcid.org/0000-0002-5148-2033","affiliations":[{"raw_affiliation_string":"Emory University, US","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083952888"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":6.43,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96423269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"745","last_page":"751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11838","display_name":"Crime, Illicit Activities, and Governance","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11838","display_name":"Crime, Illicit Activities, and Governance","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9574000239372253,"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/T12519","display_name":"Cybercrime and Law Enforcement Studies","score":0.9354000091552734,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.4659733772277832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4482000768184662},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4154585301876068},{"id":"https://openalex.org/keywords/criminology","display_name":"Criminology","score":0.32992303371429443},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.16551277041435242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4659733772277832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4482000768184662},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4154585301876068},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.32992303371429443},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.16551277041435242}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3677052.3698655","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677052.3698655","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677052.3698655","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM International Conference on AI in Finance","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3677052.3698655","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3677052.3698655","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3677052.3698655","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM International Conference on AI in Finance","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4404351453.pdf"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W411445100","https://openalex.org/W2919491917","https://openalex.org/W2940009958","https://openalex.org/W3015001695","https://openalex.org/W3102415155","https://openalex.org/W4285101226","https://openalex.org/W4387323858","https://openalex.org/W4387432528","https://openalex.org/W4388996366","https://openalex.org/W4391801218","https://openalex.org/W6853601813"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Adoption":[0],"of":[1,24,40,55,74,110,137],"AI":[2,56,67,126,163],"by":[3,57,102],"criminal":[4,30,58],"entities":[5],"across":[6,182],"traditional":[7],"and":[8,44,90,121,152],"emerging":[9,171],"financial":[10,88,150,184],"crime":[11,115,192],"paradigms":[12],"has":[13,28,83],"been":[14],"a":[15,84,105],"disturbing":[16],"recent":[17],"trend.":[18],"Particularly":[19],"concerning":[20],"is":[21],"the":[22,38,99,134,145,157,169,178,183,189],"proliferation":[23],"generative":[25],"AI,":[26],"which":[27],"empowered":[29],"activities":[31],"ranging":[32],"from":[33],"sophisticated":[34],"phishing":[35],"schemes":[36],"to":[37,45,49,61,93,176,187],"creation":[39],"hard-to-detect":[41],"deep":[42],"fakes,":[43],"advanced":[46],"spoofing":[47],"attacks":[48],"biometric":[50],"authentication":[51],"systems.":[52,141,154],"The":[53],"exploitation":[54],"purposes":[59],"continues":[60],"escalate,":[62],"presenting":[63],"an":[64,70],"unprecedented":[65],"challenge.":[66],"adoption":[68],"causes":[69],"increasingly":[71],"complex":[72],"landscape":[73],"fraud":[75,100],"typologies":[76],"intertwined":[77],"with":[78,104],"cybersecurity":[79],"vulnerabilities.":[80],"Overall,":[81],"GenAI":[82,96,190],"transformative":[85],"effect":[86],"on":[87],"crimes":[89,151],"fraud.":[91],"According":[92],"some":[94],"estimates,":[95],"will":[97],"quadruple":[98],"losses":[101],"2027":[103],"staggering":[106],"annual":[107],"growth":[108],"rate":[109],"over":[111],"30%":[112],"[27].":[113],"As":[114],"patterns":[116],"become":[117],"more":[118],"intricate,":[119],"personalized,":[120],"elusive,":[122],"deploying":[123],"effective":[124],"defensive":[125],"strategies":[127],"becomes":[128],"indispensable.":[129],"However,":[130],"several":[131],"challenges":[132],"hinder":[133],"necessary":[135],"progress":[136],"AI-based":[138],"fincrime":[139],"detection":[140,153],"This":[142],"paper":[143],"examines":[144],"latest":[146],"trends":[147],"in":[148],"AI/ML-driven":[149],"It":[155,173],"underscores":[156],"urgent":[158],"need":[159,179],"for":[160,180],"developing":[161],"agile":[162],"defenses":[164],"that":[165],"can":[166],"effectively":[167],"counteract":[168],"rapidly":[170],"threats.":[172],"also":[174],"aims":[175],"highlight":[177],"cooperation":[181],"services":[185],"industry":[186],"tackle":[188],"induced":[191],"waves.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2025-10-10T00:00:00"}