{"id":"https://openalex.org/W7204655326","doi":"https://doi.org/10.15662/ijsrat.2026.0901013","title":"EthosPredict: A Human-Governed Framework for Fairness Arbitration in Privacy-Preserving Clinical Prediction","display_name":"EthosPredict: A Human-Governed Framework for Fairness Arbitration in Privacy-Preserving Clinical Prediction","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7204655326","doi":"https://doi.org/10.15662/ijsrat.2026.0901013"},"language":"en","primary_location":{"id":"doi:10.15662/ijsrat.2026.0901013","doi":"https://doi.org/10.15662/ijsrat.2026.0901013","is_oa":true,"landing_page_url":"https://doi.org/10.15662/ijsrat.2026.0901013","pdf_url":"https://www.ijsrat.com/index.php/ijsrat/article/download/249/240","source":{"id":"https://openalex.org/S7407053888","display_name":"International Journal of Science Research and Technology","issn_l":"2454-3853","issn":["2454-3853"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323238129","host_organization_name":"Ess And Ess Research Publications","host_organization_lineage":["https://openalex.org/P4323238129"],"host_organization_lineage_names":["Ess And Ess Research Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Science, Research and Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.ijsrat.com/index.php/ijsrat/article/download/249/240","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116460405","display_name":"Santhosh Kusuma Kumar Parimi","orcid":"https://orcid.org/0009-0000-4857-0633","observed_orcids":["https://orcid.org/0009-0000-4857-0633"]},"institutions":[{"id":"https://openalex.org/I3132238960","display_name":"Institute of Electrical and Electronics Engineers","ror":"https://ror.org/01n002310","country_code":"US","type":"education","lineage":["https://openalex.org/I3132238960"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Santhosh Kusuma Kumar Parimi","raw_affiliation_strings":["Senior Member, IEEE, Independent Researcher, Austin, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Senior Member, IEEE, Independent Researcher, Austin, Texas, USA","institution_ids":["https://openalex.org/I3132238960"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5116460405"],"corresponding_institution_ids":["https://openalex.org/I3132238960"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"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":0.948199987411499,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.948199987411499,"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":0.023099999874830246,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.0203000009059906,"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/group-fairness","display_name":"group fairness","score":0.6150000095367432},{"id":"https://openalex.org/keywords/privacy-preserving-machine-learning","display_name":"privacy-preserving machine learning","score":0.7260000109672546},{"id":"https://openalex.org/keywords/clinical-prediction","display_name":"clinical prediction","score":0.859000027179718},{"id":"https://openalex.org/keywords/human-governance","display_name":"human governance","score":0.5950000286102295},{"id":"https://openalex.org/keywords/demographic-parity","display_name":"demographic parity","score":0.777999997138977},{"id":"https://openalex.org/keywords/equalized-odds","display_name":"equalized odds","score":0.996999979019165},{"id":"https://openalex.org/keywords/indirect-discrimination","display_name":"indirect discrimination","score":0.9990000128746033},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.6729999780654907}],"concepts":[{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.5486000180244446},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.5351999998092651},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.5138000249862671},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.5109999775886536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47450000047683716},{"id":"https://openalex.org/C160151201","wikidata":"https://www.wikidata.org/wiki/Q207946","display_name":"Arbitration","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4350000023841858},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.37290000915527344},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3621000051498413},{"id":"https://openalex.org/C14224292","wikidata":"https://www.wikidata.org/wiki/Q13600188","display_name":"Conceptual framework","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C2776452267","wikidata":"https://www.wikidata.org/wiki/Q1503443","display_name":"Secrecy","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.33379998803138733},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.30239999294281006},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.30239999294281006},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C169437150","wikidata":"https://www.wikidata.org/wiki/Q8458","display_name":"Human rights","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C2781460075","wikidata":"https://www.wikidata.org/wiki/Q1399332","display_name":"Compliance (psychology)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C2780900520","wikidata":"https://www.wikidata.org/wiki/Q100268981","display_name":"Denial","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C86532276","wikidata":"https://www.wikidata.org/wiki/Q1184065","display_name":"Delegation","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C201305675","wikidata":"https://www.wikidata.org/wiki/Q852998","display_name":"Stakeholder","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.15662/ijsrat.2026.0901013","doi":"https://doi.org/10.15662/ijsrat.2026.0901013","is_oa":true,"landing_page_url":"https://doi.org/10.15662/ijsrat.2026.0901013","pdf_url":"https://www.ijsrat.com/index.php/ijsrat/article/download/249/240","source":{"id":"https://openalex.org/S7407053888","display_name":"International Journal of Science Research and Technology","issn_l":"2454-3853","issn":["2454-3853"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323238129","host_organization_name":"Ess And Ess Research Publications","host_organization_lineage":["https://openalex.org/P4323238129"],"host_organization_lineage_names":["Ess And Ess Research Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Science, Research and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.15662/ijsrat.2026.0901013","doi":"https://doi.org/10.15662/ijsrat.2026.0901013","is_oa":true,"landing_page_url":"https://doi.org/10.15662/ijsrat.2026.0901013","pdf_url":"https://www.ijsrat.com/index.php/ijsrat/article/download/249/240","source":{"id":"https://openalex.org/S7407053888","display_name":"International Journal of Science Research and Technology","issn_l":"2454-3853","issn":["2454-3853"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323238129","host_organization_name":"Ess And Ess Research Publications","host_organization_lineage":["https://openalex.org/P4323238129"],"host_organization_lineage_names":["Ess And Ess Research Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Science, Research and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7578999996185303},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.7297000288963318},{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5683000087738037}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204655326.pdf","grobid_xml":"https://content.openalex.org/works/W7204655326.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7163741081","https://openalex.org/W3046113390","https://openalex.org/W7167602787","https://openalex.org/W7202208763","https://openalex.org/W7138924642","https://openalex.org/W4387560205","https://openalex.org/W7162680131","https://openalex.org/W3043023066","https://openalex.org/W6903716616","https://openalex.org/W7155626143"],"abstract_inverted_index":{"Frameworks":[0],"for":[1],"trustworthy":[2],"clinical":[3,57,215],"artificial":[4],"intelligence":[5],"routinely":[6],"require":[7,144],"a":[8,60,104,115,120,123,152,188,194,221,234],"model":[9],"to":[10,32,184],"satisfy":[11],"several":[12],"group-fairness":[13],"criteria":[14,158],"at":[15],"once,":[16],"alongside":[17],"privacy":[18],"preservation":[19],"and":[20,38,73,127,173,177,201,223],"human":[21,99,185,210],"oversight.":[22],"We":[23,110],"argue":[24],"that":[25,39,87,97,182,209],"such":[26],"requirements":[27],"are":[28,35],"not":[29,59,102],"merely":[30],"difficult":[31],"meet":[33],"but":[34],"formally":[36],"unsatisfiable,":[37],"the":[40,44,53,70,95,148,169,205,214,239],"standard":[41],"response":[42,202],"is":[43,52,131,220,229],"wrong":[45],"one.":[46],"Unequal":[47],"outcome":[48],"prevalence":[49,138],"across":[50],"subgroups":[51],"normal":[54],"condition":[55,96],"in":[56,118,147],"populations,":[58],"pathological":[61],"case;":[62],"any":[63],"framework":[64],"treating":[65,174],"demographic":[66,175],"parity,":[67],"equalized":[68,129],"odds,":[69],"false-negative-rate":[71,170],"gap":[72,126,171],"disparate":[74,178],"impact":[75,179],"as":[76,94,103,134,180],"jointly":[77],"binding":[78,172],"will":[79],"therefore":[80],"issue":[81],"contradictory":[82],"remediation":[83],"demands":[84],"without":[85],"detecting":[86],"it":[88],"has.":[89],"EthosPredict":[90],"treats":[91],"metric":[92],"incompatibility":[93],"makes":[98],"governance":[100,106],"necessary,":[101],"defect":[105],"must":[107],"route":[108,183],"around.":[109],"present":[111],"three":[112],"contributions.":[113],"First,":[114],"constructed":[116],"demonstration":[117],"which":[119,238],"classifier":[121],"with":[122,198,204],"zero":[124],"falsenegative-rate":[125],"exact":[128],"odds":[130],"nonetheless":[132],"flagged":[133],"disparate-impact-violating":[135],"purely":[136],"because":[137],"differs,":[139],"where":[140],"forcing":[141],"compliance":[142],"would":[143],"inducing":[145],"over-diagnosis":[146],"lower-prevalence":[149],"group.":[150],"Second,":[151],"tiered":[153],"arbitration":[154],"protocol":[155,236],"ordering":[156],"fairness":[157],"by":[159,237],"directness":[160],"of":[161,165,190,208],"patient":[162],"harm":[163],"instead":[164],"statistical":[166],"convenience,":[167],"making":[168],"parity":[176],"diagnostics":[181],"adjudication.":[186],"Third,":[187],"mapping":[189],"each":[191],"tier":[192],"onto":[193],"named":[195],"oversight":[196],"role":[197],"defined":[199],"authority":[200],"window,":[203],"failure":[206],"modes":[207],"layer":[211],"analysed":[212],"against":[213],"decision":[216],"support":[217],"literature.":[218],"This":[219],"conceptual":[222],"design":[224],"contribution;":[225],"no":[226],"experimental":[227],"evaluation":[228],"reported.":[230],"Section":[231],"VIII":[232],"specifies":[233],"pre-registered":[235],"framework's":[240],"claims":[241],"can":[242],"be":[243],"falsified.":[244]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-30T00:00:00"}