{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:T26KGAIAI56SURFDEQIWUHPLRE","short_pith_number":"pith:T26KGAIA","schema_version":"1.0","canonical_sha256":"9ebca30100477d2a44a324116a1deb891e107532cac177b9f9ce3d81a358a83e","source":{"kind":"arxiv","id":"2311.06513","version":2},"attestation_state":"computed","paper":{"title":"Step by Step to Fairness: Attributing Societal Bias in Task-oriented Dialogue Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Chinnadhurai Sankar, Daniel M. Bikel, Hsuan Su, Hung-yi Lee, Rebecca Qian, Shahin Shayandeh, Shang-Tse Chen","submitted_at":"2023-11-11T09:06:15Z","abstract_excerpt":"Recent works have shown considerable improvements in task-oriented dialogue (TOD) systems by utilizing pretrained large language models (LLMs) in an end-to-end manner. However, the biased behavior of each component in a TOD system and the error propagation issue in the end-to-end framework can lead to seriously biased TOD responses. Existing works of fairness only focus on the total bias of a system. In this paper, we propose a diagnosis method to attribute bias to each component of a TOD system. With the proposed attribution method, we can gain a deeper understanding of the sources of bias. A"},"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":"2311.06513","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-11T09:06:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"145ccf97bb51c74e38655465ae59a95d0636d31f8629738619463dc13830257f","abstract_canon_sha256":"9432f6bb5b74dd5f3cd067c10c47bc3acc241c070987ea7d3e8fa554f7299af9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:12:20.254626Z","signature_b64":"oRCGUFiaKssvS0CWchMpEEp1vzvVGuZupArL/krxy6qxsQN7gYAhua1HyIX217jcraX8VlBoDmVqn7chT3WiCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ebca30100477d2a44a324116a1deb891e107532cac177b9f9ce3d81a358a83e","last_reissued_at":"2026-07-05T07:12:20.254187Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:12:20.254187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Step by Step to Fairness: Attributing Societal Bias in Task-oriented Dialogue Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Chinnadhurai Sankar, Daniel M. Bikel, Hsuan Su, Hung-yi Lee, Rebecca Qian, Shahin Shayandeh, Shang-Tse Chen","submitted_at":"2023-11-11T09:06:15Z","abstract_excerpt":"Recent works have shown considerable improvements in task-oriented dialogue (TOD) systems by utilizing pretrained large language models (LLMs) in an end-to-end manner. However, the biased behavior of each component in a TOD system and the error propagation issue in the end-to-end framework can lead to seriously biased TOD responses. Existing works of fairness only focus on the total bias of a system. In this paper, we propose a diagnosis method to attribute bias to each component of a TOD system. With the proposed attribution method, we can gain a deeper understanding of the sources of bias. A"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.06513","kind":"arxiv","version":2},"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/2311.06513/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":"2311.06513","created_at":"2026-07-05T07:12:20.254243+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.06513v2","created_at":"2026-07-05T07:12:20.254243+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.06513","created_at":"2026-07-05T07:12:20.254243+00:00"},{"alias_kind":"pith_short_12","alias_value":"T26KGAIAI56S","created_at":"2026-07-05T07:12:20.254243+00:00"},{"alias_kind":"pith_short_16","alias_value":"T26KGAIAI56SURFD","created_at":"2026-07-05T07:12:20.254243+00:00"},{"alias_kind":"pith_short_8","alias_value":"T26KGAIA","created_at":"2026-07-05T07:12:20.254243+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/T26KGAIAI56SURFDEQIWUHPLRE","json":"https://pith.science/pith/T26KGAIAI56SURFDEQIWUHPLRE.json","graph_json":"https://pith.science/api/pith-number/T26KGAIAI56SURFDEQIWUHPLRE/graph.json","events_json":"https://pith.science/api/pith-number/T26KGAIAI56SURFDEQIWUHPLRE/events.json","paper":"https://pith.science/paper/T26KGAIA"},"agent_actions":{"view_html":"https://pith.science/pith/T26KGAIAI56SURFDEQIWUHPLRE","download_json":"https://pith.science/pith/T26KGAIAI56SURFDEQIWUHPLRE.json","view_paper":"https://pith.science/paper/T26KGAIA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.06513&json=true","fetch_graph":"https://pith.science/api/pith-number/T26KGAIAI56SURFDEQIWUHPLRE/graph.json","fetch_events":"https://pith.science/api/pith-number/T26KGAIAI56SURFDEQIWUHPLRE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T26KGAIAI56SURFDEQIWUHPLRE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T26KGAIAI56SURFDEQIWUHPLRE/action/storage_attestation","attest_author":"https://pith.science/pith/T26KGAIAI56SURFDEQIWUHPLRE/action/author_attestation","sign_citation":"https://pith.science/pith/T26KGAIAI56SURFDEQIWUHPLRE/action/citation_signature","submit_replication":"https://pith.science/pith/T26KGAIAI56SURFDEQIWUHPLRE/action/replication_record"}},"created_at":"2026-07-05T07:12:20.254243+00:00","updated_at":"2026-07-05T07:12:20.254243+00:00"}