{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:7GENLWZQ536GX2CQPIADDOYX6W","short_pith_number":"pith:7GENLWZQ","schema_version":"1.0","canonical_sha256":"f988d5db30eefc6be8507a0031bb17f58c1a386ebbefe85408f728e56116d22e","source":{"kind":"arxiv","id":"2208.08739","version":2},"attestation_state":"computed","paper":{"title":"Transcending XAI Algorithm Boundaries through End-User-Inspired Design","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.AI","authors_text":"Diane Gromala, Ghassan Hamarneh, Jianyu Fan, Philippe Pasquier, Weina Jin, Xiaoxiao Li","submitted_at":"2022-08-18T09:44:51Z","abstract_excerpt":"The boundaries of existing explainable artificial intelligence (XAI) algorithms are confined to problems grounded in technical users' demand for explainability. This research paradigm disproportionately ignores the larger group of non-technical end users, who have a much higher demand for AI explanations in diverse explanation goals, such as making safer and better decisions and improving users' predicted outcomes. Lacking explainability-focused functional support for end users may hinder the safe and accountable use of AI in high-stakes domains, such as healthcare, criminal justice, finance, "},"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":"2208.08739","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2022-08-18T09:44:51Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"cff6f8a23cf63f149ff8eddc0074d922395bf19f12b614040623f2cd96934003","abstract_canon_sha256":"350ff55ecd48e05e94c3863c53d607fe5908f6ca70faf7dd541fd44da387674a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:35:03.830146Z","signature_b64":"0oFsj6QOgDfSKiFtesXrxifMofJIJYxTIIL8ozWHwSkzNZwLY8GMibQ75hIy5S7cheuG43ZQR/0JuK4zNWxNAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f988d5db30eefc6be8507a0031bb17f58c1a386ebbefe85408f728e56116d22e","last_reissued_at":"2026-07-05T05:35:03.829659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:35:03.829659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Transcending XAI Algorithm Boundaries through End-User-Inspired Design","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.AI","authors_text":"Diane Gromala, Ghassan Hamarneh, Jianyu Fan, Philippe Pasquier, Weina Jin, Xiaoxiao Li","submitted_at":"2022-08-18T09:44:51Z","abstract_excerpt":"The boundaries of existing explainable artificial intelligence (XAI) algorithms are confined to problems grounded in technical users' demand for explainability. This research paradigm disproportionately ignores the larger group of non-technical end users, who have a much higher demand for AI explanations in diverse explanation goals, such as making safer and better decisions and improving users' predicted outcomes. Lacking explainability-focused functional support for end users may hinder the safe and accountable use of AI in high-stakes domains, such as healthcare, criminal justice, finance, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.08739","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/2208.08739/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":"2208.08739","created_at":"2026-07-05T05:35:03.829719+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.08739v2","created_at":"2026-07-05T05:35:03.829719+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.08739","created_at":"2026-07-05T05:35:03.829719+00:00"},{"alias_kind":"pith_short_12","alias_value":"7GENLWZQ536G","created_at":"2026-07-05T05:35:03.829719+00:00"},{"alias_kind":"pith_short_16","alias_value":"7GENLWZQ536GX2CQ","created_at":"2026-07-05T05:35:03.829719+00:00"},{"alias_kind":"pith_short_8","alias_value":"7GENLWZQ","created_at":"2026-07-05T05:35:03.829719+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/7GENLWZQ536GX2CQPIADDOYX6W","json":"https://pith.science/pith/7GENLWZQ536GX2CQPIADDOYX6W.json","graph_json":"https://pith.science/api/pith-number/7GENLWZQ536GX2CQPIADDOYX6W/graph.json","events_json":"https://pith.science/api/pith-number/7GENLWZQ536GX2CQPIADDOYX6W/events.json","paper":"https://pith.science/paper/7GENLWZQ"},"agent_actions":{"view_html":"https://pith.science/pith/7GENLWZQ536GX2CQPIADDOYX6W","download_json":"https://pith.science/pith/7GENLWZQ536GX2CQPIADDOYX6W.json","view_paper":"https://pith.science/paper/7GENLWZQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.08739&json=true","fetch_graph":"https://pith.science/api/pith-number/7GENLWZQ536GX2CQPIADDOYX6W/graph.json","fetch_events":"https://pith.science/api/pith-number/7GENLWZQ536GX2CQPIADDOYX6W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7GENLWZQ536GX2CQPIADDOYX6W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7GENLWZQ536GX2CQPIADDOYX6W/action/storage_attestation","attest_author":"https://pith.science/pith/7GENLWZQ536GX2CQPIADDOYX6W/action/author_attestation","sign_citation":"https://pith.science/pith/7GENLWZQ536GX2CQPIADDOYX6W/action/citation_signature","submit_replication":"https://pith.science/pith/7GENLWZQ536GX2CQPIADDOYX6W/action/replication_record"}},"created_at":"2026-07-05T05:35:03.829719+00:00","updated_at":"2026-07-05T05:35:03.829719+00:00"}