{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:XYQVTCA34N3KPQ4PRRJLME6N4X","short_pith_number":"pith:XYQVTCA3","schema_version":"1.0","canonical_sha256":"be2159881be376a7c38f8c52b613cde5d6f9dcd081b5cdd8faf5c8aa9f8cbcca","source":{"kind":"arxiv","id":"2103.00752","version":1},"attestation_state":"computed","paper":{"title":"Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Atoosa Kasirzadeh","submitted_at":"2021-03-01T04:50:31Z","abstract_excerpt":"The societal and ethical implications of the use of opaque artificial intelligence systems for consequential decisions, such as welfare allocation and criminal justice, have generated a lively debate among multiple stakeholder groups, including computer scientists, ethicists, social scientists, policy makers, and end users. However, the lack of a common language or a multi-dimensional framework to appropriately bridge the technical, epistemic, and normative aspects of this debate prevents the discussion from being as productive as it could be. Drawing on the philosophical literature on the nat"},"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":"2103.00752","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CY","submitted_at":"2021-03-01T04:50:31Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"111a2e458fe925b0b241b210ee5deeee789a493a9706e41aed9acdc28a80b24a","abstract_canon_sha256":"85c6c0d272643a269bfc5374a7c93f65c80ba909818f4a8fbf3761fade1ae2cc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:19:09.039114Z","signature_b64":"ivN6aOG2XwE0MmPHY/SiMRiM/xp/ZqVEz1WrV/fql46V+SeEbVgG3+tbvOoYE6ZF/U8Jvg3iSx7LH7AgY/t9CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be2159881be376a7c38f8c52b613cde5d6f9dcd081b5cdd8faf5c8aa9f8cbcca","last_reissued_at":"2026-07-05T02:19:09.038691Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:19:09.038691Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Atoosa Kasirzadeh","submitted_at":"2021-03-01T04:50:31Z","abstract_excerpt":"The societal and ethical implications of the use of opaque artificial intelligence systems for consequential decisions, such as welfare allocation and criminal justice, have generated a lively debate among multiple stakeholder groups, including computer scientists, ethicists, social scientists, policy makers, and end users. However, the lack of a common language or a multi-dimensional framework to appropriately bridge the technical, epistemic, and normative aspects of this debate prevents the discussion from being as productive as it could be. Drawing on the philosophical literature on the nat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.00752","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/2103.00752/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":"2103.00752","created_at":"2026-07-05T02:19:09.038759+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.00752v1","created_at":"2026-07-05T02:19:09.038759+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.00752","created_at":"2026-07-05T02:19:09.038759+00:00"},{"alias_kind":"pith_short_12","alias_value":"XYQVTCA34N3K","created_at":"2026-07-05T02:19:09.038759+00:00"},{"alias_kind":"pith_short_16","alias_value":"XYQVTCA34N3KPQ4P","created_at":"2026-07-05T02:19:09.038759+00:00"},{"alias_kind":"pith_short_8","alias_value":"XYQVTCA3","created_at":"2026-07-05T02:19:09.038759+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2412.16022","citing_title":"The Only Way is Ethics: A Guide to Ethical Research with Large Language Models","ref_index":39,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X","json":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X.json","graph_json":"https://pith.science/api/pith-number/XYQVTCA34N3KPQ4PRRJLME6N4X/graph.json","events_json":"https://pith.science/api/pith-number/XYQVTCA34N3KPQ4PRRJLME6N4X/events.json","paper":"https://pith.science/paper/XYQVTCA3"},"agent_actions":{"view_html":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X","download_json":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X.json","view_paper":"https://pith.science/paper/XYQVTCA3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.00752&json=true","fetch_graph":"https://pith.science/api/pith-number/XYQVTCA34N3KPQ4PRRJLME6N4X/graph.json","fetch_events":"https://pith.science/api/pith-number/XYQVTCA34N3KPQ4PRRJLME6N4X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X/action/storage_attestation","attest_author":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X/action/author_attestation","sign_citation":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X/action/citation_signature","submit_replication":"https://pith.science/pith/XYQVTCA34N3KPQ4PRRJLME6N4X/action/replication_record"}},"created_at":"2026-07-05T02:19:09.038759+00:00","updated_at":"2026-07-05T02:19:09.038759+00:00"}