{"id":"https://openalex.org/W7155212815","doi":"https://doi.org/10.48550/arxiv.2604.18847","title":"Human-Guided Harm Recovery for Computer Use Agents","display_name":"Human-Guided Harm Recovery for Computer Use Agents","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7155212815","doi":"https://doi.org/10.48550/arxiv.2604.18847"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.18847","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18847","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.18847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134231720","display_name":"Christy Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Christy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047948208","display_name":"Sky CH-Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"CH-Wang, Sky","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020921993","display_name":"Andi Peng","orcid":"https://orcid.org/0000-0001-8136-6175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Andi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034978137","display_name":"Andreea Bobu","orcid":"https://orcid.org/0000-0002-9507-7427"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bobu, Andreea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.13619999587535858,"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"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.13619999587535858,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.11729999631643295,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.05389999970793724,"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/harm","display_name":"Harm","score":0.7462999820709229},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.5529999732971191},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47380000352859497},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4075999855995178},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.40220001339912415},{"id":"https://openalex.org/keywords/formative-assessment","display_name":"Formative assessment","score":0.3869999945163727},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.32839998602867126}],"concepts":[{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.7462999820709229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5566999912261963},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.5529999732971191},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4684000015258789},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.40220001339912415},{"id":"https://openalex.org/C42525527","wikidata":"https://www.wikidata.org/wiki/Q1209955","display_name":"Formative assessment","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38359999656677246},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30160000920295715},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2833999991416931},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26089999079704285},{"id":"https://openalex.org/C97508593","wikidata":"https://www.wikidata.org/wiki/Q1359069","display_name":"Contingency","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.18847","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18847","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":"doi:10.48550/arxiv.2604.18847","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.18847","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.700133204460144}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"LM":[1],"agents":[2,169],"gain":[3],"the":[4,46,177],"ability":[5,150],"to":[6,16,36,58,151],"execute":[7],"actions":[8,21],"on":[9],"real":[10],"computer":[11],"systems,":[12],"we":[13,137],"need":[14],"ways":[15],"not":[17,192],"only":[18,193],"prevent":[19],"harmful":[20,55,154],"at":[22,129],"scale":[23],"but":[24,197],"also":[25],"effectively":[26],"remediate":[27],"harm":[28,44,191],"when":[29],"prevention":[30],"fails.":[31],"We":[32,67,110],"formalize":[33],"a":[34,54,59,72,83,116,140,180],"solution":[35],"this":[37],"neglected":[38],"challenge":[39],"in":[40,62,96,115],"post-execution":[41],"safeguards":[42],"as":[43,100],"recovery:":[45],"problem":[47],"of":[48,89,142,183],"optimally":[49],"steering":[50],"an":[51,126,148],"agent":[52,127,184],"from":[53,153],"state":[56],"back":[57],"safe":[60],"one":[61],"alignment":[63,203],"with":[64,202],"human":[65],"preferences.":[66],"ground":[68],"preference-aligned":[69],"recovery":[70,79,122,134,165],"through":[71],"formative":[73],"user":[74],"study":[75],"that":[76,146,189],"identifies":[77],"valued":[78],"dimensions":[80],"and":[81,170,204],"produces":[82],"natural":[84],"language":[85],"rubric.":[86],"Our":[87],"dataset":[88],"1,130":[90],"pairwise":[91],"judgments":[92],"reveals":[93],"context-dependent":[94],"shifts":[95],"attribute":[97],"importance,":[98],"such":[99],"preferences":[101],"for":[102,179],"pragmatic,":[103],"targeted":[104],"strategies":[105],"over":[106],"comprehensive":[107],"long-term":[108],"approaches.":[109],"operationalize":[111],"these":[112,174],"learned":[113],"insights":[114],"reward":[117,160],"model,":[118],"re-ranking":[119],"multiple":[120],"candidate":[121],"plans":[123],"generated":[124],"by":[125,194,198],"scaffold":[128,162],"test":[130,147],"time.":[131],"To":[132],"evaluate":[133],"capabilities":[135],"systematically,":[136],"introduce":[138],"BackBench,":[139],"benchmark":[141],"50":[143],"computer-use":[144],"tasks":[145],"agent's":[149],"recover":[152],"states.":[155],"Human":[156],"evaluation":[157],"shows":[158],"our":[159],"model":[161],"yields":[163],"higher-quality":[164],"trajectories":[166],"than":[167],"base":[168],"rubric-based":[171],"scaffolds.":[172],"Together,":[173],"contributions":[175],"lay":[176],"foundation":[178],"new":[181],"class":[182],"safety":[185],"methods":[186],"--":[187],"ones":[188],"confront":[190],"preventing":[195],"it,":[196],"navigating":[199],"its":[200],"aftermath":[201],"intent.":[205]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-23T00:00:00"}