{"id":"https://openalex.org/W4415324612","doi":"https://doi.org/10.1007/978-3-032-08333-3_6","title":"Mind the\u00a0XAI Gap: A Human-Centered LLM Framework for\u00a0Democratizing Explainable AI","display_name":"Mind the\u00a0XAI Gap: A Human-Centered LLM Framework for\u00a0Democratizing Explainable AI","publication_year":2025,"publication_date":"2025-10-18","ids":{"openalex":"https://openalex.org/W4415324612","doi":"https://doi.org/10.1007/978-3-032-08333-3_6"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-08333-3_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08333-3_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08333-3_6.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08333-3_6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092246103","display_name":"Eva Paraschou","orcid":"https://orcid.org/0000-0002-3561-6994"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]},{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK","GR"],"is_corresponding":true,"raw_author_name":"Eva Paraschou","raw_affiliation_strings":["Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, 2800, Denmark","School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, 2800, Denmark","institution_ids":["https://openalex.org/I96673099"]},{"raw_affiliation_string":"School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004931613","display_name":"I. Arapakis","orcid":"https://orcid.org/0000-0002-4212-0890"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ioannis Arapakis","raw_affiliation_strings":["Telefonica Scientific Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Telefonica Scientific Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010623902","display_name":"Sofia Yfantidou","orcid":"https://orcid.org/0000-0002-5629-3493"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sofia Yfantidou","raw_affiliation_strings":["School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115676601","display_name":"Sebastian Macaluso","orcid":"https://orcid.org/0000-0002-4246-4976"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sebastian Macaluso","raw_affiliation_strings":["Telefonica Scientific Research, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Telefonica Scientific Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002623428","display_name":"Athena Vakali","orcid":"https://orcid.org/0000-0002-0666-6984"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athena Vakali","raw_affiliation_strings":["School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece"],"affiliations":[{"raw_affiliation_string":"School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5092246103"],"corresponding_institution_ids":["https://openalex.org/I21370196","https://openalex.org/I96673099"],"apc_list":null,"apc_paid":null,"fwci":4.995,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9585083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9991999864578247,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9991999864578247,"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":0.9674000144004822,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9671000242233276,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.7942000031471252},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7908999919891357},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7272999882698059},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5350000262260437},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5016000270843506},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4481000006198883},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4284000098705292}],"concepts":[{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.7942000031471252},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7908999919891357},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7272999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6664000153541565},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5350000262260437},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5016000270843506},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4481000006198883},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4284000098705292},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.40310001373291016},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39480000734329224},{"id":"https://openalex.org/C45983554","wikidata":"https://www.wikidata.org/wiki/Q3412851","display_name":"Information quality","level":3,"score":0.33180001378059387},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.27869999408721924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2784000039100647},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.25060001015663147},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-08333-3_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08333-3_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08333-3_6.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-032-08333-3_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08333-3_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08333-3_6.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415324612.pdf","grobid_xml":"https://content.openalex.org/works/W4415324612.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W133394232","https://openalex.org/W151377110","https://openalex.org/W1983753875","https://openalex.org/W1987971958","https://openalex.org/W1995450389","https://openalex.org/W1996747841","https://openalex.org/W2029064186","https://openalex.org/W2042962409","https://openalex.org/W2051224630","https://openalex.org/W2069870183","https://openalex.org/W2085487226","https://openalex.org/W2114213946","https://openalex.org/W2121947440","https://openalex.org/W2282821441","https://openalex.org/W2386192529","https://openalex.org/W2404506086","https://openalex.org/W2765336080","https://openalex.org/W2788403449","https://openalex.org/W2919115771","https://openalex.org/W3038780555","https://openalex.org/W3093388566","https://openalex.org/W3094229504","https://openalex.org/W3159303776","https://openalex.org/W3173721282","https://openalex.org/W4200191097","https://openalex.org/W4281757670","https://openalex.org/W4289557734","https://openalex.org/W4292994367","https://openalex.org/W4294193476","https://openalex.org/W4296908434","https://openalex.org/W4307693173","https://openalex.org/W4309730097","https://openalex.org/W4313527987","https://openalex.org/W4315701371","https://openalex.org/W4389519589","https://openalex.org/W4391094932","https://openalex.org/W4393001808","https://openalex.org/W4401042779","https://openalex.org/W4402366812","https://openalex.org/W4404629013","https://openalex.org/W4404782185"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Artificial":[1],"Intelligence":[2],"(AI)":[3],"is":[4],"rapidly":[5],"embedded":[6],"in":[7,112,126,211],"critical":[8],"decision-making":[9],"systems,":[10],"however":[11],"their":[12],"foundational":[13,231],"\u201cblack-box\u201d":[14],"models":[15],"require":[16],"eXplainable":[17],"AI":[18],"(XAI)":[19],"solutions":[20],"to":[21,28,33,74,93,122,197],"enhance":[22],"transparency,":[23],"which":[24],"are":[25],"mostly":[26],"oriented":[27],"experts,":[29,123],"making":[30],"no":[31],"sense":[32],"non-experts.":[34,81,243],"Alarming":[35],"evidence":[36],"about":[37],"AI\u2019s":[38],"unprecedented":[39],"human":[40],"values":[41],"risks":[42],"brings":[43],"forward":[44],"the":[45,75,133,220],"imperative":[46],"need":[47],"for":[48,156,242],"transparent":[49],"human-centered":[50,71,240],"XAI":[51,154,232],"solutions.":[52],"In":[53],"this":[54],"work,":[55],"we":[56,138,176],"introduce":[57],"a":[58,140,145,162,166,200],"domain-,":[59],"model-,":[60],"explanation-agnostic,":[61],"generalizable":[62],"and":[63,70,80,89,96,106,119,128,153,169,192,195,234,238],"reproducible":[64],"framework":[65,83,110,218],"that":[66],"ensures":[67],"both":[68,78],"transparency":[69],"explanations":[72,115,186,228,241],"tailored":[73],"needs":[76],"of":[77,135,161,172],"experts":[79],"The":[82],"leverages":[84],"Large":[85],"Language":[86],"Models":[87],"(LLMs)":[88],"employs":[90],"in-context":[91],"learning":[92],"convey":[94],"domain-":[95],"explainability-relevant":[97],"contextual":[98,142],"knowledge":[99],"into":[100],"LLMs.":[101],"Through":[102,165],"its":[103],"structured":[104],"prompt":[105],"system":[107],"setting,":[108],"our":[109,136,173,217],"encapsulates":[111],"one":[113],"response":[114],"understandable":[116],"by":[117,223],"non-experts":[118,198],"technical":[120,227],"information":[121],"all":[124],"grounded":[125],"domain":[127],"explainability":[129],"principles.":[130],"To":[131],"demonstrate":[132],"effectiveness":[134],"framework,":[137],"establish":[139],"ground-truth":[141,185],"\u201cthesaurus\u201d":[143],"through":[144,181,199],"rigorous":[146],"benchmarking":[147],"with":[148,184,230],"over":[149],"40":[150],"data,":[151],"model,":[152],"combinations":[155],"an":[157],"explainable":[158],"clustering":[159],"analysis":[160],"well-being":[163],"scenario.":[164],"comprehensive":[167],"quality":[168,180],"human-friendliness":[170,196],"evaluation":[171,208],"framework\u2019s":[174],"explanations,":[175],"prove":[177],"high":[178],"content":[179],"strong":[182],"correlations":[183],"(Spearman":[187],"rank":[188],"correlation":[189],"=":[190,204],"0.92)":[191],"improved":[193],"interpretability":[194],"user":[201],"study":[202],"(N":[203],"56).":[205],"Our":[206],"overall":[207],"confirms":[209],"trust":[210],"LLMs":[212],"as":[213,216],"HCXAI":[214],"enablers,":[215],"bridges":[219],"above":[221],"Gaps":[222],"delivering":[224],"(i)":[225],"high-quality":[226],"aligned":[229],"methods":[233],"(ii)":[235],"clear,":[236],"efficient,":[237],"interpretable":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-19T00:00:00"}