{"id":"https://openalex.org/W4415251273","doi":"https://doi.org/10.48550/arxiv.2507.14944","title":"LEKIA: Expert-Aligned AI Behavior Design for High-Risk Human-AI Interactions","display_name":"LEKIA: Expert-Aligned AI Behavior Design for High-Risk Human-AI Interactions","publication_year":2025,"publication_date":"2025-07-20","ids":{"openalex":"https://openalex.org/W4415251273","doi":"https://doi.org/10.48550/arxiv.2507.14944"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2507.14944","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.14944","pdf_url":"https://arxiv.org/pdf/2507.14944","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.14944","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110479305","display_name":"Boning Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Boning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103083331","display_name":"Yutong Hu","orcid":"https://orcid.org/0009-0004-9413-7653"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yutong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015889784","display_name":"Xinnuo Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xinnuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.8835999965667725,"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":0.8835999965667725,"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":0.7692999839782715,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.7135000228881836,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7268999814987183},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6437000036239624},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.4999000132083893},{"id":"https://openalex.org/keywords/metaphor","display_name":"Metaphor","score":0.47110000252723694},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4544999897480011},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4366999864578247},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.38830000162124634},{"id":"https://openalex.org/keywords/subject-matter-expert","display_name":"Subject-matter expert","score":0.38670000433921814}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7268999814987183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686999797821045},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6437000036239624},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.4999000132083893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48669999837875366},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3970000147819519},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.38670000433921814},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C102600418","wikidata":"https://www.wikidata.org/wiki/Q6517507","display_name":"Legal expert system","level":3,"score":0.3553999960422516},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3490999937057495},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2976999878883362},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C2982912361","wikidata":"https://www.wikidata.org/wiki/Q1851867","display_name":"Mental model","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2865000069141388},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C2780103759","wikidata":"https://www.wikidata.org/wiki/Q5264375","display_name":"Design science","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C127627568","wikidata":"https://www.wikidata.org/wiki/Q1639361","display_name":"Sociotechnical system","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C31352089","wikidata":"https://www.wikidata.org/wiki/Q3750474","display_name":"Systems design","level":2,"score":0.262800008058548}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2507.14944","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.14944","pdf_url":"https://arxiv.org/pdf/2507.14944","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2507.14944","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.14944","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.14944","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.14944","pdf_url":"https://arxiv.org/pdf/2507.14944","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"technical":[6,124,130],"accuracy":[7],"in":[8,37,68,100,117,147],"high-risk":[9,148],"domains,":[10],"such":[11],"as":[12,137],"mental":[13],"health":[14],"support":[15,98],"and":[16,82,89,93],"special":[17,101],"education.":[18,102],"However,":[19],"they":[20],"often":[21],"fail":[22],"to":[23],"meet":[24],"the":[25,57],"nuanced":[26],"behavioral":[27],"expectations":[28,121],"of":[29,59],"domain":[30],"experts.":[31],"This":[32],"gap":[33],"constrains":[34],"AI":[35,61,145],"deployment":[36,146],"sensitive":[38],"settings.":[39],"To":[40],"address":[41],"this":[42,132],"challenge,":[43],"we":[44],"introduce":[45],"LEKIA":[46,95,106],"(Layered":[47],"Expert":[48],"Knowledge":[49],"Injection":[50],"Architecture),":[51],"a":[52,72,83,128,138],"novel":[53],"framework":[54],"built":[55],"upon":[56],"principle":[58],"expert-owned":[60],"behavior":[62],"design.":[63],"LEKIA's":[64],"core":[65],"innovation":[66],"lies":[67],"its":[69],"dual":[70],"architecture:":[71],"three-layer":[73],"knowledge":[74],"injection":[75],"system":[76,86],"featuring":[77],"our":[78],"\"Supervision":[79],"Metaphor":[80],"Cycle\",":[81],"dual-agent":[84],"safety":[85],"ensuring":[87],"robustness":[88],"consistency.":[90],"We":[91],"implemented":[92],"evaluated":[94],"within":[96],"psychological":[97],"scenarios":[99],"Experiments":[103],"indicate":[104],"that":[105],"improves":[107],"performance":[108],"by":[109,114],"14.8%":[110],"over":[111],"baseline,":[112],"driven":[113],"substantive":[115],"increase":[116],"alignment":[118,136],"with":[119,142],"expert":[120],"while":[122],"preserving":[123],"accuracy.":[125],"Beyond":[126],"providing":[127],"reproducible":[129],"framework,":[131],"work":[133],"demonstrates":[134],"expert-expectation":[135],"measurable":[139],"evaluation":[140],"criterion":[141],"implications":[143],"for":[144],"domains.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-16T00:00:00"}