{"id":"https://openalex.org/W4403181752","doi":"https://doi.org/10.1007/s11943-024-00344-2","title":"Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production","display_name":"Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production","publication_year":2024,"publication_date":"2024-06-01","ids":{"openalex":"https://openalex.org/W4403181752","doi":"https://doi.org/10.1007/s11943-024-00344-2"},"language":"en","primary_location":{"id":"doi:10.1007/s11943-024-00344-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11943-024-00344-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11943-024-00344-2.pdf","source":{"id":"https://openalex.org/S54546190","display_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","issn_l":"1863-8155","issn":["1863-8155","1863-8163"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"AStA Wirtschafts- und Sozialstatistisches Archiv","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11943-024-00344-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061551265","display_name":"Patrick Oliver Schenk","orcid":"https://orcid.org/0000-0003-3840-7298"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Patrick Oliver Schenk","raw_affiliation_strings":["Department of Statistics, LMU Munich, Ludwigstr. 33, 80539, Munich, Germany","Department of Statistics, LMU Munich, Ludwigstr.\u00a033, 80539, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3840-7298","affiliations":[{"raw_affiliation_string":"Department of Statistics, LMU Munich, Ludwigstr. 33, 80539, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Department of Statistics, LMU Munich, Ludwigstr.\u00a033, 80539, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066229916","display_name":"Christoph Kern","orcid":"https://orcid.org/0000-0001-7363-4299"},"institutions":[{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Kern","raw_affiliation_strings":["Department of Statistics, LMU Munich, Ludwigstr. 33, 80539, Munich, Germany","Munich Center for Machine Learning (MCML), Munich, Germany","Department of Statistics, LMU Munich, Ludwigstr.\u00a033, 80539, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7363-4299","affiliations":[{"raw_affiliation_string":"Department of Statistics, LMU Munich, Ludwigstr. 33, 80539, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]},{"raw_affiliation_string":"Munich Center for Machine Learning (MCML), Munich, Germany","institution_ids":["https://openalex.org/I4403386549"]},{"raw_affiliation_string":"Department of Statistics, LMU Munich, Ludwigstr.\u00a033, 80539, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061551265"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":1.7642,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8757238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"18","issue":"2","first_page":"131","last_page":"184"},"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":0.9980999827384949,"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":0.9980999827384949,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9836999773979187,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.979200005531311,"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/production","display_name":"Production (economics)","score":0.6442757844924927},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5947123765945435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5298281311988831},{"id":"https://openalex.org/keywords/official-statistics","display_name":"Official statistics","score":0.511989414691925},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.480114221572876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37287846207618713},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35922324657440186},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3551816940307617},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3224978446960449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22195008397102356},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1780829131603241},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.10029837489128113}],"concepts":[{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.6442757844924927},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5947123765945435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5298281311988831},{"id":"https://openalex.org/C198052957","wikidata":"https://www.wikidata.org/wiki/Q7079603","display_name":"Official statistics","level":2,"score":0.511989414691925},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.480114221572876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37287846207618713},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35922324657440186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3551816940307617},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3224978446960449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22195008397102356},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1780829131603241},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.10029837489128113},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s11943-024-00344-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11943-024-00344-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11943-024-00344-2.pdf","source":{"id":"https://openalex.org/S54546190","display_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","issn_l":"1863-8155","issn":["1863-8155","1863-8163"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"AStA Wirtschafts- und Sozialstatistisches Archiv","raw_type":"journal-article"},{"id":"pmh:oai:epub.ub.uni-muenchen.de:122530","is_oa":false,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bvb:19-epub-122530-6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401845","display_name":"Open access LMU (Ludwid Maxmilian's Universitat Munchen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I8204097","host_organization_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","host_organization_lineage":["https://openalex.org/I8204097"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","raw_type":"NonPeerReviewed"},{"id":"pmh:oai:econstor.eu:10419/315640","is_oa":true,"landing_page_url":"https://hdl.handle.net/10419/315640","pdf_url":"https://www.econstor.eu/bitstream/10419/315640/1/11943_2024_Article_344.pdf","source":{"id":"https://openalex.org/S4306401696","display_name":"Econstor (Econstor)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:67983","is_oa":true,"landing_page_url":null,"pdf_url":"https://madoc.bib.uni-mannheim.de/67983/1/s11943-024-00344-2.pdf","source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"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":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:RePEc:spr:astaws:v:18:y:2024:i:2:d:10.1007_s11943-024-00344-2","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11943-024-00344-2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11943-024-00344-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11943-024-00344-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11943-024-00344-2.pdf","source":{"id":"https://openalex.org/S54546190","display_name":"AStA Wirtschafts- und Sozialstatistisches Archiv","issn_l":"1863-8155","issn":["1863-8155","1863-8163"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"AStA Wirtschafts- und Sozialstatistisches Archiv","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323390","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403181752.pdf"},"referenced_works_count":102,"referenced_works":["https://openalex.org/W137826588","https://openalex.org/W1494581921","https://openalex.org/W1551992267","https://openalex.org/W1583837637","https://openalex.org/W1990028388","https://openalex.org/W2028138594","https://openalex.org/W2041571365","https://openalex.org/W2084341220","https://openalex.org/W2100960835","https://openalex.org/W2123279272","https://openalex.org/W2124044975","https://openalex.org/W2150469545","https://openalex.org/W2158676541","https://openalex.org/W2193451006","https://openalex.org/W2302501749","https://openalex.org/W2305754340","https://openalex.org/W2414283705","https://openalex.org/W2526501380","https://openalex.org/W2586680852","https://openalex.org/W2604738573","https://openalex.org/W2614197345","https://openalex.org/W2750779823","https://openalex.org/W2787894218","https://openalex.org/W2789816182","https://openalex.org/W2795431618","https://openalex.org/W2888842680","https://openalex.org/W2897042519","https://openalex.org/W2910705748","https://openalex.org/W2912083425","https://openalex.org/W2912690045","https://openalex.org/W2913997948","https://openalex.org/W2914202940","https://openalex.org/W2947430470","https://openalex.org/W2962925443","https://openalex.org/W2963518130","https://openalex.org/W2963934714","https://openalex.org/W2964316623","https://openalex.org/W2966439315","https://openalex.org/W2981686111","https://openalex.org/W2981869278","https://openalex.org/W3003561046","https://openalex.org/W3005044129","https://openalex.org/W3008948670","https://openalex.org/W3016154458","https://openalex.org/W3086015676","https://openalex.org/W3089790503","https://openalex.org/W3092541244","https://openalex.org/W3095077798","https://openalex.org/W3100279624","https://openalex.org/W3101206394","https://openalex.org/W3119527628","https://openalex.org/W3124443940","https://openalex.org/W3132748670","https://openalex.org/W3136620301","https://openalex.org/W3136933888","https://openalex.org/W3138819813","https://openalex.org/W3164854573","https://openalex.org/W3181414820","https://openalex.org/W3188873460","https://openalex.org/W3194357095","https://openalex.org/W3197493900","https://openalex.org/W3197494818","https://openalex.org/W3206874785","https://openalex.org/W3210863930","https://openalex.org/W3212257084","https://openalex.org/W4200001778","https://openalex.org/W4200067604","https://openalex.org/W4205806204","https://openalex.org/W4213218446","https://openalex.org/W4224267936","https://openalex.org/W4226026805","https://openalex.org/W4235256446","https://openalex.org/W4283823536","https://openalex.org/W4285079406","https://openalex.org/W4293055795","https://openalex.org/W4298008672","https://openalex.org/W4302072479","https://openalex.org/W4302338619","https://openalex.org/W4303962107","https://openalex.org/W4308558755","https://openalex.org/W4313030832","https://openalex.org/W4321455981","https://openalex.org/W4322500410","https://openalex.org/W4381848566","https://openalex.org/W4391093116","https://openalex.org/W4396833703","https://openalex.org/W4399364344","https://openalex.org/W4402861319","https://openalex.org/W6600407574","https://openalex.org/W6601047702","https://openalex.org/W6601204885","https://openalex.org/W6604736924","https://openalex.org/W6630320347","https://openalex.org/W6636797083","https://openalex.org/W6685690167","https://openalex.org/W6698485543","https://openalex.org/W6780161852","https://openalex.org/W6810922674","https://openalex.org/W6816422522","https://openalex.org/W6816674283","https://openalex.org/W6894085389","https://openalex.org/W6922413721"],"related_works":["https://openalex.org/W1922851888","https://openalex.org/W2961085424","https://openalex.org/W2406961220","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4311780513","https://openalex.org/W2570544837","https://openalex.org/W3097189317","https://openalex.org/W4285276754"],"abstract_inverted_index":{"Abstract":[0],"National":[1],"Statistical":[2,47,54],"Organizations":[3],"(NSOs)":[4],"increasingly":[5],"draw":[6],"on":[7,70,177],"Machine":[8],"Learning":[9],"(ML)":[10],"to":[11,32,81,124,198,213,232,240],"improve":[12],"the":[13,43,57,61,101,104,112,130,139,165,201,241],"timeliness":[14],"and":[15,35,116,172,180,208,220,246],"cost-effectiveness":[16],"of":[17,56,67,75,79,103,106,120,141,145,203,217,243],"their":[18],"products.":[19],"When":[20],"introducing":[21],"ML":[22,80,107],"solutions,":[23],"NSOs":[24],"must":[25],"ensure":[26],"that":[27],"high":[28],"standards":[29],"with":[30,143,183,188],"respect":[31],"robustness,":[33],"reproducibility,":[34],"accuracy":[36],"are":[37,237],"upheld":[38],"as":[39,72,96,154,228],"codified,":[40],"e.g.,":[41],"in":[42,86,100,133,164,200,223],"Quality":[44],"Framework":[45],"for":[46,152],"Algorithms":[48],"(QF4SA;":[49],"Yung":[50],"et":[51],"al.":[52],"2022,":[53],"Journal":[55],"IAOS":[58],").":[59],"At":[60],"same":[62],"time,":[63],"a":[64,73,76,97,118],"growing":[65],"body":[66],"research":[68],"focuses":[69],"fairness":[71,89,142,153],"pre-condition":[74],"safe":[77],"deployment":[78],"prevent":[82],"disparate":[83],"social":[84],"impacts":[85],"practice.":[87],"However,":[88],"has":[90],"not":[91],"yet":[92],"been":[93],"explicitly":[94,173],"discussed":[95],"quality":[98,114,122,147,158,221,244],"aspect":[99],"context":[102],"application":[105],"at":[108],"NSOs.":[109],"We":[110,127],"employ":[111],"QF4SA":[113,131,166],"framework":[115,132],"present":[117],"mapping":[119,195],"its":[121,155,178,181],"dimensions":[123,222,245],"algorithmic":[125,206],"fairness.":[126,247],"thereby":[128],"extend":[129],"several":[134],"ways:":[135],"First,":[136],"we":[137,150,170,191,229],"investigate":[138],"interaction":[140,182],"each":[144],"these":[146,233],"dimensions.":[148],"Second,":[149],"argue":[151],"own,":[156],"additional":[157],"dimension,":[159],"beyond":[160],"what":[161],"is":[162,226],"contained":[163],"so":[167],"far.":[168],"Third,":[169],"emphasize":[171],"address":[174],"data,":[175],"both":[176],"own":[179],"applied":[184],"methodology.":[185],"In":[186],"parallel":[187],"empirical":[189],"illustrations,":[190],"show":[192],"how":[193],"our":[194],"can":[196],"contribute":[197],"methodology":[199],"domains":[202],"official":[204,224],"statistics,":[205],"fairness,":[207,219],"trustworthy":[209],"machine":[210],"learning.":[211],"Little":[212],"no":[214],"prior":[215],"knowledge":[216],"ML,":[218],"statistics":[225],"required":[227],"provide":[230],"introductions":[231,236],"subjects.":[234],"These":[235],"also":[238],"targeted":[239],"discussion":[242]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-25T08:15:23.626066","created_date":"2025-10-10T00:00:00"}
