{"id":"https://openalex.org/W4406975315","doi":"https://doi.org/10.48550/arxiv.2501.17315","title":"A sketch of an AI control safety case","display_name":"A sketch of an AI control safety case","publication_year":2025,"publication_date":"2025-01-28","ids":{"openalex":"https://openalex.org/W4406975315","doi":"https://doi.org/10.48550/arxiv.2501.17315"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2501.17315","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.17315","pdf_url":"https://arxiv.org/pdf/2501.17315","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/2501.17315","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114338125","display_name":"Tomek Korbak","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Korbak, Tomek","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114638728","display_name":"Joshua Clymer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Clymer, Joshua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hilton, Benjamin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hilton, Benjamin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050408969","display_name":"Buck Shlegeris","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shlegeris, Buck","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114658452","display_name":"Geoffrey Irving","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irving, Geoffrey","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114338125"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.6635000109672546,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.6635000109672546,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.5817999839782715,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"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":0.5720999836921692,"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/sketch","display_name":"Sketch","score":0.8873611688613892},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5858769416809082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3602575957775116},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.35506242513656616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2642037272453308},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.058791935443878174}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8873611688613892},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5858769416809082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3602575957775116},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35506242513656616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2642037272453308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.058791935443878174}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2501.17315","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.17315","pdf_url":"https://arxiv.org/pdf/2501.17315","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2501.17315","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2501.17315","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2501.17315","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.17315","pdf_url":"https://arxiv.org/pdf/2501.17315","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341"],"abstract_inverted_index":{"As":[0,56],"LLM":[1,67,171],"agents":[2],"gain":[3],"a":[4,33,39,57,65,85,89,99,155,168],"greater":[5],"capacity":[6],"to":[7,21,52,95,121,141,165,175],"cause":[8,53],"harm,":[9],"AI":[10,73],"developers":[11,30,136],"might":[12],"increasingly":[13],"rely":[14],"on":[15,82,110],"control":[16,48,125],"measures":[17,49,126],"such":[18],"as":[19,130],"monitoring":[20],"justify":[22],"that":[23,42,64,161,167],"they":[24],"are":[25,44],"safe.":[26],"We":[27],"sketch":[28,61,80,153],"how":[29],"could":[31],"construct":[32],"\"control":[34,86],"safety":[35,106,151],"case\",":[36],"which":[37],"is":[38,154,173],"structured":[40],"argument":[41,63],"models":[43,94],"incapable":[45],"of":[46,145],"subverting":[47],"in":[50,98,132,148],"order":[51],"unacceptable":[54],"outcomes.":[55],"case":[58,107,152],"study,":[59],"we":[60],"an":[62,72],"hypothetical":[66],"agent":[68,172],"deployed":[69],"internally":[70],"at":[71,128],"company":[74],"won't":[75],"exfiltrate":[76,96,122],"sensitive":[77],"information.":[78],"The":[79,105],"relies":[81],"evidence":[83],"from":[84],"evaluation,\"'":[87],"where":[88],"red":[90,115],"team":[91,116],"deliberately":[92],"designs":[93],"data":[97,146],"proxy":[100],"for":[101],"the":[102,114,143],"deployment":[103],"environment.":[104],"then":[108],"hinges":[109],"several":[111],"claims:":[112],"(1)":[113],"adequately":[117],"elicits":[118],"model":[119,139],"capabilities":[120],"data,":[123],"(2)":[124],"remain":[127],"least":[129],"effective":[131],"deployment,":[133],"and":[134],"(3)":[135],"conservatively":[137],"extrapolate":[138],"performance":[140],"predict":[142],"probability":[144],"exfiltration":[147],"deployment.":[149],"This":[150],"step":[156],"toward":[157],"more":[158],"concrete":[159],"arguments":[160],"can":[162],"be":[163],"used":[164],"show":[166],"dangerously":[169],"capable":[170],"safe":[174],"deploy.":[176]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
