{"id":"https://openalex.org/W4409749271","doi":"https://doi.org/10.1145/3706598.3713482","title":"Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse","display_name":"Preventing Harmful Data Practices by using Participatory Input to Navigate the Machine Learning Multiverse","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4409749271","doi":"https://doi.org/10.1145/3706598.3713482"},"language":"en","primary_location":{"id":"doi:10.1145/3706598.3713482","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706598.3713482","pdf_url":null,"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 2025 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3706598.3713482","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041051738","display_name":"Jan Simson","orcid":"https://orcid.org/0000-0002-9406-7761"},"institutions":[{"id":"https://openalex.org/I292141241","display_name":"Munich School of Philosophy","ror":"https://ror.org/02kqy4228","country_code":"DE","type":"education","lineage":["https://openalex.org/I292141241"]},{"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":true,"raw_author_name":"Jan Simson","raw_affiliation_strings":["Department of Statistics, LMU Munich, Munich, Germany and Munich Center for Machine Learning (MCML), Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9406-7761","affiliations":[{"raw_affiliation_string":"Department of Statistics, LMU Munich, Munich, Germany and Munich Center for Machine Learning (MCML), Munich, Germany","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I292141241","https://openalex.org/I4403386549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010045512","display_name":"Fiona Draxler","orcid":"https://orcid.org/0000-0002-3112-6015"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fiona Draxler","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3112-6015","affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088761076","display_name":"Samuel A. Mehr","orcid":"https://orcid.org/0000-0002-9400-7718"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]},{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["NZ","US"],"is_corresponding":false,"raw_author_name":"Samuel Mehr","raw_affiliation_strings":["School of Psychology, University of Auckland, Auckland, New Zealand and Child Study Center, Yale University, New Haven, Connecticut, USA"],"raw_orcid":"https://orcid.org/0000-0002-9400-7718","affiliations":[{"raw_affiliation_string":"School of Psychology, University of Auckland, Auckland, New Zealand and Child Study Center, Yale University, New Haven, Connecticut, USA","institution_ids":["https://openalex.org/I154130895","https://openalex.org/I32971472"]}]},{"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/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]},{"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, Munich, Germany; Munich Center for Machine Learning (MCML), Munich, Germany and University of Mannheim, Mannheim, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7363-4299","affiliations":[{"raw_affiliation_string":"Department of Statistics, LMU Munich, Munich, Germany; Munich Center for Machine Learning (MCML), Munich, Germany and University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041051738"],"corresponding_institution_ids":["https://openalex.org/I292141241","https://openalex.org/I4403386549","https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":2.0379,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86277792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"30"},"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":0.9977999925613403,"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":0.9977999925613403,"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":0.9911999702453613,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7107151746749878},{"id":"https://openalex.org/keywords/citizen-journalism","display_name":"Citizen journalism","score":0.5400181412696838},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46714991331100464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4455573558807373},{"id":"https://openalex.org/keywords/participatory-sensing","display_name":"Participatory sensing","score":0.430266797542572},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3462415933609009},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33457183837890625},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2175859808921814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107151746749878},{"id":"https://openalex.org/C203663800","wikidata":"https://www.wikidata.org/wiki/Q848979","display_name":"Citizen journalism","level":2,"score":0.5400181412696838},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46714991331100464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4455573558807373},{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.430266797542572},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3462415933609009},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33457183837890625},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2175859808921814}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3706598.3713482","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706598.3713482","pdf_url":null,"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 2025 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:69802","is_oa":true,"landing_page_url":null,"pdf_url":"https://madoc.bib.uni-mannheim.de/69802/1/3706598.3713482.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"}],"best_oa_location":{"id":"doi:10.1145/3706598.3713482","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706598.3713482","pdf_url":null,"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 2025 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":110,"referenced_works":["https://openalex.org/W1897139626","https://openalex.org/W1930624869","https://openalex.org/W2010398643","https://openalex.org/W2084341220","https://openalex.org/W2088286197","https://openalex.org/W2108770903","https://openalex.org/W2126674450","https://openalex.org/W2135415614","https://openalex.org/W2144637173","https://openalex.org/W2161418887","https://openalex.org/W2161498332","https://openalex.org/W2182762988","https://openalex.org/W2290195878","https://openalex.org/W2322006099","https://openalex.org/W2472803348","https://openalex.org/W2526501380","https://openalex.org/W2559655401","https://openalex.org/W2582743722","https://openalex.org/W2584419678","https://openalex.org/W2612690371","https://openalex.org/W2736977076","https://openalex.org/W2749936057","https://openalex.org/W2783871677","https://openalex.org/W2789726514","https://openalex.org/W2807910285","https://openalex.org/W2897042519","https://openalex.org/W2898911770","https://openalex.org/W2902991393","https://openalex.org/W2903950532","https://openalex.org/W2909062687","https://openalex.org/W2941092057","https://openalex.org/W2942227409","https://openalex.org/W2964031043","https://openalex.org/W2981869278","https://openalex.org/W2982915530","https://openalex.org/W2990138404","https://openalex.org/W2990427812","https://openalex.org/W3000952406","https://openalex.org/W3014972121","https://openalex.org/W3030081171","https://openalex.org/W3035965352","https://openalex.org/W3044225844","https://openalex.org/W3094294413","https://openalex.org/W3094328607","https://openalex.org/W3099878876","https://openalex.org/W3100279624","https://openalex.org/W3101206394","https://openalex.org/W3102708241","https://openalex.org/W3109065399","https://openalex.org/W3117072286","https://openalex.org/W3126632784","https://openalex.org/W3136620301","https://openalex.org/W3144277077","https://openalex.org/W3163696583","https://openalex.org/W3165211483","https://openalex.org/W3179950556","https://openalex.org/W3181414820","https://openalex.org/W3193160514","https://openalex.org/W3206428286","https://openalex.org/W3213556453","https://openalex.org/W4205688613","https://openalex.org/W4211116959","https://openalex.org/W4220699706","https://openalex.org/W4225006216","https://openalex.org/W4280548710","https://openalex.org/W4280554323","https://openalex.org/W4283159495","https://openalex.org/W4283168572","https://openalex.org/W4283169532","https://openalex.org/W4285726357","https://openalex.org/W4288032566","https://openalex.org/W4289293239","https://openalex.org/W4293055795","https://openalex.org/W4296186062","https://openalex.org/W4296405185","https://openalex.org/W4296412277","https://openalex.org/W4296938656","https://openalex.org/W4307475647","https://openalex.org/W4317103628","https://openalex.org/W4320733112","https://openalex.org/W4380319991","https://openalex.org/W4380369591","https://openalex.org/W4382239409","https://openalex.org/W4386242326","https://openalex.org/W4388007985","https://openalex.org/W4388080538","https://openalex.org/W4388161491","https://openalex.org/W4388272712","https://openalex.org/W4390638775","https://openalex.org/W4391535821","https://openalex.org/W4391903960","https://openalex.org/W4392504765","https://openalex.org/W4392547002","https://openalex.org/W4392735893","https://openalex.org/W4393161133","https://openalex.org/W4396243732","https://openalex.org/W4396833134","https://openalex.org/W4399362755","https://openalex.org/W4399363436","https://openalex.org/W4399364344","https://openalex.org/W4399365235","https://openalex.org/W4399576778","https://openalex.org/W4399639807","https://openalex.org/W4399648717","https://openalex.org/W4399649736","https://openalex.org/W4403434407","https://openalex.org/W4404518164","https://openalex.org/W6888840370","https://openalex.org/W6912646996","https://openalex.org/W6969259846"],"related_works":["https://openalex.org/W2063769785","https://openalex.org/W1970299606","https://openalex.org/W2538233322","https://openalex.org/W2683657967","https://openalex.org/W2949507301","https://openalex.org/W4301376527","https://openalex.org/W2807814471","https://openalex.org/W3130113503","https://openalex.org/W2478217990","https://openalex.org/W3014860623"],"abstract_inverted_index":{"In":[0],"light":[1],"of":[2,33,53,71,106],"inherent":[3],"trade-offs":[4],"regarding":[5],"fairness,":[6],"privacy,":[7],"interpretability":[8],"and":[9,31,67,77,109,133],"performance,":[10],"as":[11,13],"well":[12],"normative":[14],"questions,":[15],"the":[16,47,51,69,97,103,130],"machine":[17],"learning":[18],"(ML)":[19],"pipeline":[20,132],"needs":[21],"to":[22,43,65,91],"be":[23,63,86],"made":[24],"accessible":[25],"for":[26],"public":[27,49,122],"input,":[28],"critical":[29,94,126],"reflection":[30],"engagement":[32],"diverse":[34],"stakeholders.In":[35],"this":[36],"work,":[37],"we":[38],"introduce":[39],"a":[40,114],"participatory":[41],"approach":[42,108],"gather":[44],"input":[45,61],"from":[46],"general":[48],"on":[50,96,113],"design":[52,83,127],"an":[54],"ML":[55],"pipeline.":[56],"We":[57,79,101],"show":[58],"how":[59,121],"people\u2019s":[60],"can":[62,124],"used":[64],"navigate":[66],"constrain":[68],"multiverse":[70],"decisions":[72,84,128],"during":[73],"both":[74],"model":[75],"development":[76,105],"evaluation.":[78],"highlight":[80],"that":[81],"central":[82],"should":[85],"democratized":[87],"rather":[88],"than":[89],"\u201coptimized\u201d":[90],"acknowledge":[92],"their":[93],"impact":[95],"system\u2019s":[98],"output":[99],"downstream.":[100],"describe":[102],"iterative":[104],"our":[107],"its":[110],"exemplary":[111],"implementation":[112],"citizen":[115],"science":[116],"platform.":[117],"Our":[118],"results":[119],"demonstrate":[120],"participation":[123],"inform":[125],"along":[129],"model-building":[131],"combat":[134],"widespread":[135],"lazy":[136],"data":[137],"practices.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}