{"id":"https://openalex.org/W4392254148","doi":"https://doi.org/10.1145/3639479.3639492","title":"Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML","display_name":"Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4392254148","doi":"https://doi.org/10.1145/3639479.3639492"},"language":"en","primary_location":{"id":"doi:10.1145/3639479.3639492","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639492","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639492","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639492","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087889593","display_name":"K.R. Griep","orcid":null},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kylie Griep","raw_affiliation_strings":["Department of Computer Science, University of North Carolina Wilmington, USA"],"raw_orcid":"https://orcid.org/0009-0009-2317-1113","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina Wilmington, USA","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008833454","display_name":"L. A. Stone","orcid":null},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leah Stone","raw_affiliation_strings":["Master of Data Science Program, University of North Carolina Wilmington, USA"],"raw_orcid":"https://orcid.org/0009-0008-2408-7442","affiliations":[{"raw_affiliation_string":"Master of Data Science Program, University of North Carolina Wilmington, USA","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018651828","display_name":"Stephen T. Edwards","orcid":null},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Edwards","raw_affiliation_strings":["Master of Data Science Program, University of North Carolina Wilmington, USA"],"raw_orcid":"https://orcid.org/0009-0006-6822-4176","affiliations":[{"raw_affiliation_string":"Master of Data Science Program, University of North Carolina Wilmington, USA","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103112801","display_name":"Malik Hill","orcid":"https://orcid.org/0009-0006-5422-6031"},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Malik Hill","raw_affiliation_strings":["Master of Data Science Program, University of North Carolina Wilmington, USA"],"raw_orcid":"https://orcid.org/0009-0006-5422-6031","affiliations":[{"raw_affiliation_string":"Master of Data Science Program, University of North Carolina Wilmington, USA","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044950762","display_name":"Jialin Cui","orcid":"https://orcid.org/0000-0003-3443-9583"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I2801313472","display_name":"North Central State College","ror":"https://ror.org/04b6b6f76","country_code":"US","type":"education","lineage":["https://openalex.org/I2801313472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jialin Cui","raw_affiliation_strings":["Department of Computer Science, NC State University, USA"],"raw_orcid":"https://orcid.org/0000-0003-3443-9583","affiliations":[{"raw_affiliation_string":"Department of Computer Science, NC State University, USA","institution_ids":["https://openalex.org/I137902535","https://openalex.org/I2801313472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021928404","display_name":"Chengyuan Liu","orcid":"https://orcid.org/0009-0004-6580-7865"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I2801313472","display_name":"North Central State College","ror":"https://ror.org/04b6b6f76","country_code":"US","type":"education","lineage":["https://openalex.org/I2801313472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengyuan Liu","raw_affiliation_strings":["Department of Computer Science, NC State University, USA"],"raw_orcid":"https://orcid.org/0009-0004-6580-7865","affiliations":[{"raw_affiliation_string":"Department of Computer Science, NC State University, USA","institution_ids":["https://openalex.org/I137902535","https://openalex.org/I2801313472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043301508","display_name":"Qinjin Jia","orcid":"https://orcid.org/0000-0002-5716-0019"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I2801313472","display_name":"North Central State College","ror":"https://ror.org/04b6b6f76","country_code":"US","type":"education","lineage":["https://openalex.org/I2801313472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinjin Jia","raw_affiliation_strings":["Department of Computer Science, NC State University, USA"],"raw_orcid":"https://orcid.org/0000-0002-5716-0019","affiliations":[{"raw_affiliation_string":"Department of Computer Science, NC State University, USA","institution_ids":["https://openalex.org/I137902535","https://openalex.org/I2801313472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058470061","display_name":"Yang Song","orcid":"https://orcid.org/0000-0001-5297-3072"},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Song","raw_affiliation_strings":["Department of Computer Science, University of North Carolina Wilmington, USA"],"raw_orcid":"https://orcid.org/0000-0001-5297-3072","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina Wilmington, USA","institution_ids":["https://openalex.org/I153901656"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33735409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9937000274658203,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7129856944084167},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.5798929929733276},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5787518620491028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5238480567932129},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.4532441198825836},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39655691385269165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7129856944084167},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.5798929929733276},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5787518620491028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238480567932129},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4532441198825836},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39655691385269165},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639479.3639492","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639492","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639492","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3639479.3639492","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639492","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639492","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392254148.pdf","grobid_xml":"https://content.openalex.org/works/W4392254148.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1528081447","https://openalex.org/W1819662813","https://openalex.org/W2027711578","https://openalex.org/W2031342017","https://openalex.org/W2136377175","https://openalex.org/W2599025709","https://openalex.org/W2742108348","https://openalex.org/W2769342982","https://openalex.org/W2962922665","https://openalex.org/W2964024268","https://openalex.org/W2970052781","https://openalex.org/W2996737117","https://openalex.org/W3006913750","https://openalex.org/W3092541244","https://openalex.org/W3107629419","https://openalex.org/W3127080117","https://openalex.org/W3162508354","https://openalex.org/W3197300072","https://openalex.org/W3203721139","https://openalex.org/W3211229017","https://openalex.org/W3215416154","https://openalex.org/W4213308398","https://openalex.org/W4214835294","https://openalex.org/W4226469136","https://openalex.org/W4282981994","https://openalex.org/W4289715258","https://openalex.org/W6638208828","https://openalex.org/W6704546155","https://openalex.org/W6742072231"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Automated":[0],"machine":[1,49,181],"learning":[2,50,182],"(AutoML)":[3],"creates":[4,23],"additional":[5],"opportunities":[6],"for":[7,26,73],"less":[8],"advanced":[9],"users":[10],"to":[11,37,43,57,106,114,202],"build":[12],"and":[13,34,41,60,90,123,125,145,155,163,167,187,199,204],"test":[14],"their":[15],"own":[16],"data":[17,98,213],"mining":[18],"models.":[19],"Even":[20],"though":[21],"AutoML":[22,101,149,172,186],"the":[24,27,44,48,94,191,206],"models":[25,169,183,198],"user,":[28],"there":[29],"is":[30,102],"still":[31],"technical":[32],"knowledge":[33],"tools":[35],"needed":[36],"evaluate":[38],"those":[39,171,197],"models,":[40,51],"due":[42],"black-box":[45],"nature":[46],"of":[47,96,208],"problems":[52,207],"can":[53,64,112],"arise":[54],"with":[55],"regard":[56],"algorithmic":[58,209],"biases":[59,63,104],"fairness.":[61],"Such":[62],"escalate":[65],"in":[66,76,121,178,193,196,211],"future":[67],"applications,":[68],"necessitating":[69],"a":[70],"structured":[71],"approach":[72],"fairness":[74,81,87,118,132,140,195],"evaluation":[75,133],"AutoML.":[77],"This":[78],"involves":[79],"defining":[80],"criteria,":[82],"selecting":[83],"appropriate":[84],"metrics,":[85],"assessing":[86],"across":[88],"groups,":[89],"addressing":[91],"biases.":[92],"In":[93,136],"realm":[95],"educational":[97,161,212],"mining,":[99],"where":[100],"prevalent,":[103],"related":[105],"attributes":[107],"like":[108],"gender":[109],"or":[110],"race":[111],"lead":[113],"unethical":[115],"outcomes.":[116],"Since":[117],"metrics":[119,141],"vary":[120],"definition":[122],"strength,":[124],"some":[126],"may":[127],"even":[128],"contradict":[129],"others,":[130],"making":[131],"more":[134],"complex.":[135],"this":[137],"paper,":[138],"ten":[139],"were":[142],"chosen,":[143],"explored,":[144],"implemented":[146],"on":[147,170],"four":[148],"tools,":[150],"Vertex":[151],"AI,":[152],"AutoSklearn,":[153],"AutoKeras,":[154],"PyCaret.":[156],"We":[157,174],"identified":[158],"two":[159],"open":[160],"datasets":[162],"built":[164],"both":[165],"prediction":[166],"classification":[168],"frameworks.":[173],"report":[175],"our":[176,200],"work":[177],"evaluating":[179,194],"different":[180],"created":[184],"by":[185],"provide":[188],"discussions":[189],"about":[190],"challenges":[192],"effort":[201],"mitigate":[203],"resolve":[205],"bias":[210],"mining.":[214]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}