{"id":"https://openalex.org/W3039598445","doi":"https://doi.org/10.1007/978-3-030-52152-3_27","title":"How Do You Test the Strength of AI?","display_name":"How Do You Test the Strength of AI?","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3039598445","doi":"https://doi.org/10.1007/978-3-030-52152-3_27","mag":"3039598445"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-52152-3_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-52152-3_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015089089","display_name":"Nikolay Mikhaylovskiy","orcid":"https://orcid.org/0000-0001-5660-0601"},"institutions":[{"id":"https://openalex.org/I196355604","display_name":"National Research Tomsk State University","ror":"https://ror.org/02he2nc27","country_code":"RU","type":"education","lineage":["https://openalex.org/I196355604"]},{"id":"https://openalex.org/I9115533","display_name":"Moscow Polytechnic University","ror":"https://ror.org/03paz2a60","country_code":"RU","type":"education","lineage":["https://openalex.org/I9115533"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Nikolay Mikhaylovskiy","raw_affiliation_strings":["Higher IT School of Tomsk State University, Tomsk, Russia","NTR Lab, Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0001-5660-0601","affiliations":[{"raw_affiliation_string":"Higher IT School of Tomsk State University, Tomsk, Russia","institution_ids":["https://openalex.org/I196355604"]},{"raw_affiliation_string":"NTR Lab, Moscow, Russia","institution_ids":["https://openalex.org/I9115533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015089089"],"corresponding_institution_ids":["https://openalex.org/I196355604","https://openalex.org/I9115533"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.2046,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85816619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"266"},"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":0.9656000137329102,"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":0.9656000137329102,"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":0.9487000107765198,"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/T14350","display_name":"Innovation, Sustainability, Human-Machine Systems","score":0.9293000102043152,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/computer-science","display_name":"Computer science","score":0.7899852991104126},{"id":"https://openalex.org/keywords/human-intelligence","display_name":"Human intelligence","score":0.6110255122184753},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5482566356658936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5140715837478638},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5014755725860596},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.476835161447525},{"id":"https://openalex.org/keywords/phenomenon","display_name":"Phenomenon","score":0.4556451737880707},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3425781726837158},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.14912661910057068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09075018763542175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7899852991104126},{"id":"https://openalex.org/C105409693","wikidata":"https://www.wikidata.org/wiki/Q5937824","display_name":"Human intelligence","level":2,"score":0.6110255122184753},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5482566356658936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140715837478638},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5014755725860596},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.476835161447525},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.4556451737880707},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3425781726837158},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.14912661910057068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09075018763542175},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-52152-3_27","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-52152-3_27","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W38422447","https://openalex.org/W80679475","https://openalex.org/W81137444","https://openalex.org/W655637859","https://openalex.org/W1494743030","https://openalex.org/W1720739885","https://openalex.org/W2001771035","https://openalex.org/W2123285937","https://openalex.org/W2130793108","https://openalex.org/W2145482038","https://openalex.org/W2170862681","https://openalex.org/W2798465067","https://openalex.org/W2989847975","https://openalex.org/W3118210634","https://openalex.org/W4244279502","https://openalex.org/W4248450104","https://openalex.org/W6724485992"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W2059658550","https://openalex.org/W2803920876","https://openalex.org/W2999957348","https://openalex.org/W2964219139","https://openalex.org/W4287903946","https://openalex.org/W4300450609","https://openalex.org/W4386931570","https://openalex.org/W3217486089"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
