{"id":"https://openalex.org/W4385484683","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191524","title":"How AI Affects Our Understanding of Musical Works That Should Be Protected by Copyright","display_name":"How AI Affects Our Understanding of Musical Works That Should Be Protected by Copyright","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484683","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191524"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5092581634","display_name":"Amanda M. Horzyk","orcid":"https://orcid.org/0009-0006-6657-3305"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Amanda M. Horzyk","raw_affiliation_strings":["School of Law, Politics and Sociology University of Sussex,Brighton,United Kingdom","School of Law, Politics and Sociology University of Sussex, Brighton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Law, Politics and Sociology University of Sussex,Brighton,United Kingdom","institution_ids":["https://openalex.org/I162608824"]},{"raw_affiliation_string":"School of Law, Politics and Sociology University of Sussex, Brighton, United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5092581634"],"corresponding_institution_ids":["https://openalex.org/I162608824"],"apc_list":null,"apc_paid":null,"fwci":1.6266,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84565313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11349","display_name":"Music Technology and Sound Studies","score":0.980400025844574,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9613000154495239,"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/musical","display_name":"Musical","score":0.7259714603424072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6111435890197754},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.1638830006122589},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.13931965827941895}],"concepts":[{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.7259714603424072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6111435890197754},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.1638830006122589},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.13931965827941895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W101241540","https://openalex.org/W1499440471","https://openalex.org/W1533423081","https://openalex.org/W2103498773","https://openalex.org/W2180429496","https://openalex.org/W2615138070","https://openalex.org/W2746068898","https://openalex.org/W2962212541","https://openalex.org/W2963233633","https://openalex.org/W2963991969","https://openalex.org/W2998240742","https://openalex.org/W3108047681","https://openalex.org/W3128577758","https://openalex.org/W3159172772","https://openalex.org/W4225905222","https://openalex.org/W4232021990","https://openalex.org/W4236527051","https://openalex.org/W4252266726","https://openalex.org/W4291222178","https://openalex.org/W4292308252","https://openalex.org/W6604096529","https://openalex.org/W6629848750","https://openalex.org/W6790369760","https://openalex.org/W6841996456"],"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":{"Applying":[0],"Artificial":[1],"Intelligence":[2],"(AI)":[3],"algorithms":[4],"in":[5,32,130],"creative":[6,114,127],"works":[7,23,59,84],"challenges":[8],"the":[9,25,33,41,66,107,110,126,139,154,161,181,192],"justifications":[10,170],"and":[11,47,91,118,123,132,160,163,179,187],"effectiveness":[12],"of":[13,27,43,77,88,113,166],"Copyright":[14],"Protection":[15],"aimed":[16],"at":[17],"human":[18,38,119],"authors.":[19],"AI":[20,104,143,184],"-assisted":[21],"musical":[22,89,158],"influence":[24],"value":[26],"rights":[28],"held":[29],"by":[30],"stakeholders":[31],"music":[34,193],"industry":[35],"associated":[36],"with":[37],"artists'":[39],"earnings,":[40],"production":[42],"new":[44],"original":[45],"works,":[46],"public":[48],"access":[49],"to":[50,60,101,177],"pro-tected":[51],"compositions.":[52],"The":[53,73,95,150,174],"lenient":[54],"approach":[55,100],"that":[56,135,153],"allows":[57],"computer-generated":[58],"invoke":[61],"copyright":[62,93,137,172],"protection":[63],"questions":[64],"how":[65,103,142],"law":[67],"perceives":[68],"what":[69],"constitutes":[70],"\u2018original\u2019":[71],"works.":[72],"philosophical":[74],"research":[75],"question":[76],"this":[78],"paper":[79,175],"asks,":[80],"\u2018how":[81],"do":[82],"AI-assisted":[83,167],"affect":[85],"our":[86],"understanding":[87],"creation":[90,159],"their":[92,188],"protection.\u2019":[94],"work":[96],"incorporates":[97],"a":[98,145],"doctrinal":[99],"expose":[102,178],"tools":[105,185],"compromise":[106],"presumptions":[108],"behind":[109,171],"originality":[111],"criteria":[112],"freedom,":[115],"independent":[116],"creation,":[117],"authors'":[120],"labor,":[121],"skill,":[122],"judgment.":[124],"Following":[125],"process":[128,165],"adopted":[129],"compositions":[131,168],"exposing":[133],"elements":[134],"attract":[136],"protection,":[138],"discourse":[140],"reveals":[141],"imposes":[144],"quantifiable":[146],"nature":[147],"upon":[148],"melodies.":[149],"findings":[151],"show":[152],"limited":[155],"spectrum":[156],"for":[157],"expedited":[162],"low-cost":[164],"undermine":[169],"protection.":[173],"seeks":[176],"bridge":[180],"gap":[182],"between":[183],"application":[186],"socio-legal":[189],"impact":[190],"on":[191],"industry.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}