{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:FSVIK2MRFPU4SIJIIIDFS2WZKB","short_pith_number":"pith:FSVIK2MR","schema_version":"1.0","canonical_sha256":"2caa8569912be9c921284206596ad9506a1b5bed8b0c029ffab6b07b289f8c04","source":{"kind":"arxiv","id":"2303.12872","version":1},"attestation_state":"computed","paper":{"title":"Human Uncertainty in Concept-Based AI Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.HC","authors_text":"Adrian Weller, Ilia Sucholutsky, Katherine M. Collins, Krishnamurthy Dvijotham, Mateja Jamnik, Mateo Espinosa Zarlenga, Matthew Barker, Naveen Raman, Umang Bhatt","submitted_at":"2023-03-22T19:17:57Z","abstract_excerpt":"Placing a human in the loop may abate the risks of deploying AI systems in safety-critical settings (e.g., a clinician working with a medical AI system). However, mitigating risks arising from human error and uncertainty within such human-AI interactions is an important and understudied issue. In this work, we study human uncertainty in the context of concept-based models, a family of AI systems that enable human feedback via concept interventions where an expert intervenes on human-interpretable concepts relevant to the task. Prior work in this space often assumes that humans are oracles who "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2303.12872","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2023-03-22T19:17:57Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"8445dfeb150148565cba5145b17e8395a455df959098efa9ee69dba2883a05f0","abstract_canon_sha256":"2c86a283863c4220dc855e4e3f4a02605aa8b50ad40628869743f31f41b2dfb8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:53:54.739276Z","signature_b64":"qTEfZgvXdhJEpo6f9Cps7P1FbX8iToGAg6MwjF7CO6sFy67EKlkvlZKr7BAgDxsyDh3SkiE4nwggxOHGBpA/Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2caa8569912be9c921284206596ad9506a1b5bed8b0c029ffab6b07b289f8c04","last_reissued_at":"2026-07-05T05:53:54.738924Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:53:54.738924Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Human Uncertainty in Concept-Based AI Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.HC","authors_text":"Adrian Weller, Ilia Sucholutsky, Katherine M. Collins, Krishnamurthy Dvijotham, Mateja Jamnik, Mateo Espinosa Zarlenga, Matthew Barker, Naveen Raman, Umang Bhatt","submitted_at":"2023-03-22T19:17:57Z","abstract_excerpt":"Placing a human in the loop may abate the risks of deploying AI systems in safety-critical settings (e.g., a clinician working with a medical AI system). However, mitigating risks arising from human error and uncertainty within such human-AI interactions is an important and understudied issue. In this work, we study human uncertainty in the context of concept-based models, a family of AI systems that enable human feedback via concept interventions where an expert intervenes on human-interpretable concepts relevant to the task. Prior work in this space often assumes that humans are oracles who "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.12872","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2303.12872/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2303.12872","created_at":"2026-07-05T05:53:54.738980+00:00"},{"alias_kind":"arxiv_version","alias_value":"2303.12872v1","created_at":"2026-07-05T05:53:54.738980+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.12872","created_at":"2026-07-05T05:53:54.738980+00:00"},{"alias_kind":"pith_short_12","alias_value":"FSVIK2MRFPU4","created_at":"2026-07-05T05:53:54.738980+00:00"},{"alias_kind":"pith_short_16","alias_value":"FSVIK2MRFPU4SIJI","created_at":"2026-07-05T05:53:54.738980+00:00"},{"alias_kind":"pith_short_8","alias_value":"FSVIK2MR","created_at":"2026-07-05T05:53:54.738980+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB","json":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB.json","graph_json":"https://pith.science/api/pith-number/FSVIK2MRFPU4SIJIIIDFS2WZKB/graph.json","events_json":"https://pith.science/api/pith-number/FSVIK2MRFPU4SIJIIIDFS2WZKB/events.json","paper":"https://pith.science/paper/FSVIK2MR"},"agent_actions":{"view_html":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB","download_json":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB.json","view_paper":"https://pith.science/paper/FSVIK2MR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2303.12872&json=true","fetch_graph":"https://pith.science/api/pith-number/FSVIK2MRFPU4SIJIIIDFS2WZKB/graph.json","fetch_events":"https://pith.science/api/pith-number/FSVIK2MRFPU4SIJIIIDFS2WZKB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB/action/storage_attestation","attest_author":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB/action/author_attestation","sign_citation":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB/action/citation_signature","submit_replication":"https://pith.science/pith/FSVIK2MRFPU4SIJIIIDFS2WZKB/action/replication_record"}},"created_at":"2026-07-05T05:53:54.738980+00:00","updated_at":"2026-07-05T05:53:54.738980+00:00"}