{"id":"https://openalex.org/W4412877210","doi":"https://doi.org/10.1145/3711896.3737606","title":"Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability","display_name":"Beyond Input Attribution: A Hands-On Tutorial to Concept-Based Explainable AI and Mechanistic Interpretability","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877210","doi":"https://doi.org/10.1145/3711896.3737606"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737606","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737606","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737606","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737606","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057352420","display_name":"Eliana Pastor","orcid":"https://orcid.org/0000-0002-3664-4137"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eliana Pastor","raw_affiliation_strings":["Politecnico di Torino, Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3664-4137","affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117706131","display_name":"Eleonora Poeta","orcid":"https://orcid.org/0009-0001-7289-0036"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eleonora Poeta","raw_affiliation_strings":["Politecnico di Torino, Torino, Italy"],"raw_orcid":"https://orcid.org/0009-0001-7289-0036","affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Torino, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020199695","display_name":"Andr\u00e9 Panisson","orcid":"https://orcid.org/0000-0002-3336-0374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Panisson","raw_affiliation_strings":["CENTAI Institute, Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3336-0374","affiliations":[{"raw_affiliation_string":"CENTAI Institute, Torino, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050415063","display_name":"Alan Perotti","orcid":"https://orcid.org/0000-0002-1690-6865"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alan Perotti","raw_affiliation_strings":["CENTAI Institute, Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1690-6865","affiliations":[{"raw_affiliation_string":"CENTAI Institute, Torino, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088953993","display_name":"Gabriele Ciravegna","orcid":"https://orcid.org/0000-0002-6799-1043"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabriele Ciravegna","raw_affiliation_strings":["CENTAI Institute, Torino, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6799-1043","affiliations":[{"raw_affiliation_string":"CENTAI Institute, Torino, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6247","last_page":"6248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9995999932289124,"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":0.9995999932289124,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9710999727249146,"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/interpretability","display_name":"Interpretability","score":0.9577031135559082},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.7081828117370605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6406349539756775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4880918264389038},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3635718822479248},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3589076101779938},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32454851269721985},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16100862622261047},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.06380778551101685}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9577031135559082},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.7081828117370605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406349539756775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4880918264389038},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3635718822479248},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3589076101779938},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32454851269721985},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16100862622261047},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.06380778551101685}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737606","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737606","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737606","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737606","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737606","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737606","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313985","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508"},{"id":"https://openalex.org/F4320337253","display_name":"Instituto de Ciencias del Mar y Limnolog\u00eda, Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877210.pdf","grobid_xml":"https://content.openalex.org/works/W4412877210.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W3013208758","https://openalex.org/W4296564518","https://openalex.org/W4385567845","https://openalex.org/W4401857421","https://openalex.org/W4401863402","https://openalex.org/W4403843009","https://openalex.org/W6600185353","https://openalex.org/W6818723395"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"As":[0],"deep":[1],"learning":[2],"systems":[3],"become":[4],"pervasive,":[5],"the":[6,59,82,116,119],"demand":[7],"for":[8],"trustworthy":[9],"and":[10,24,47,64,80,95,105,111,130],"transparent":[11],"AI":[12,45],"continues":[13],"to":[14,38,78,88,136],"grow.":[15],"Traditional":[16],"feature":[17,33],"attribution":[18,34],"methods,":[19],"however,":[20],"often":[21],"lack":[22],"robustness":[23],"alignment":[25],"with":[26,125],"human":[27,65],"reasoning.":[28],"This":[29],"tutorial":[30],"moves":[31],"beyond":[32],"by":[35],"introducing":[36],"participants":[37,121],"two":[39],"complementary":[40],"interpretability":[41,113,128],"paradigms:":[42],"Concept-Based":[43],"Explainable":[44],"(C-XAI)":[46],"Mechanistic":[48],"Interpretability.":[49],"C-XAI":[50,110],"provides":[51],"explanations":[52],"grounded":[53],"in":[54,139],"high-level,":[55],"human-interpretable":[56],"concepts,":[57],"bridging":[58],"gap":[60],"between":[61],"model":[62],"reasoning":[63],"understanding.":[66],"In":[67],"parallel,":[68],"mechanistic":[69,112],"interpretability--a":[70],"quickly":[71],"emerging":[72],"field--focuses":[73],"on":[74],"reverse-engineering":[75],"neural":[76],"networks":[77],"uncover":[79],"disentangle":[81],"internal":[83],"mechanisms":[84],"that":[85],"give":[86],"rise":[87],"human-understandable":[89],"representations.":[90],"Through":[91],"interactive":[92],"coding":[93],"sessions":[94],"hands-on":[96],"exercises,":[97],"attendees":[98],"will":[99,122],"gain":[100],"practical":[101],"experience":[102],"implementing,":[103],"evaluating,":[104],"comparing":[106],"a":[107,126,131],"variety":[108],"of":[109,118,134],"techniques.":[114],"By":[115],"end":[117],"tutorial,":[120],"be":[123],"equipped":[124],"modern":[127],"toolbox":[129],"deeper":[132],"understanding":[133],"how":[135],"apply":[137],"them":[138],"real-world":[140],"scenarios.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}