{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:P3T2ZBZ2GGIEYT3KPCFLAUSCAA","short_pith_number":"pith:P3T2ZBZ2","schema_version":"1.0","canonical_sha256":"7ee7ac873a31904c4f6a788ab0524200254b05b9e55a02b03d3aa77b23b75f54","source":{"kind":"arxiv","id":"2401.08103","version":5},"attestation_state":"computed","paper":{"title":"Resolving Ethics Trade-offs in Implementing Responsible AI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Conrad Sanderson, David Douglas, Emma Schleiger, Petra Kuhnert, Qinghua Lu","submitted_at":"2024-01-16T04:14:23Z","abstract_excerpt":"While the operationalisation of high-level AI ethics principles into practical AI/ML systems has made progress, there is still a theory-practice gap in managing tensions between the underlying AI ethics aspects. We cover five approaches for addressing the tensions via trade-offs, ranging from rudimentary to complex. The approaches differ in the types of considered context, scope, methods for measuring contexts, and degree of justification. None of the approaches is likely to be appropriate for all organisations, systems, or applications. To address this, we propose a framework which consists o"},"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":"2401.08103","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2024-01-16T04:14:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cdbe1a6c59b060828442f0ca38c53a281edfb31734e29cc7612d133f0e0775ff","abstract_canon_sha256":"8f8d588d125b9bdae066ed5a906475916760156a6b2c217f3c82cc5d6dd79af6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:53:39.953757Z","signature_b64":"5kNN6SdbPlLVwk5e8qLxbq94JNx4crR3d722UYBAV+JjvJ2fMXol6UOfyTJGx9R31qojkj+Wxa3dnLyiqMSoCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ee7ac873a31904c4f6a788ab0524200254b05b9e55a02b03d3aa77b23b75f54","last_reissued_at":"2026-07-05T09:53:39.953287Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:53:39.953287Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Resolving Ethics Trade-offs in Implementing Responsible AI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Conrad Sanderson, David Douglas, Emma Schleiger, Petra Kuhnert, Qinghua Lu","submitted_at":"2024-01-16T04:14:23Z","abstract_excerpt":"While the operationalisation of high-level AI ethics principles into practical AI/ML systems has made progress, there is still a theory-practice gap in managing tensions between the underlying AI ethics aspects. We cover five approaches for addressing the tensions via trade-offs, ranging from rudimentary to complex. The approaches differ in the types of considered context, scope, methods for measuring contexts, and degree of justification. None of the approaches is likely to be appropriate for all organisations, systems, or applications. To address this, we propose a framework which consists o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08103","kind":"arxiv","version":5},"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/2401.08103/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":"2401.08103","created_at":"2026-07-05T09:53:39.953348+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.08103v5","created_at":"2026-07-05T09:53:39.953348+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08103","created_at":"2026-07-05T09:53:39.953348+00:00"},{"alias_kind":"pith_short_12","alias_value":"P3T2ZBZ2GGIE","created_at":"2026-07-05T09:53:39.953348+00:00"},{"alias_kind":"pith_short_16","alias_value":"P3T2ZBZ2GGIEYT3K","created_at":"2026-07-05T09:53:39.953348+00:00"},{"alias_kind":"pith_short_8","alias_value":"P3T2ZBZ2","created_at":"2026-07-05T09:53:39.953348+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/P3T2ZBZ2GGIEYT3KPCFLAUSCAA","json":"https://pith.science/pith/P3T2ZBZ2GGIEYT3KPCFLAUSCAA.json","graph_json":"https://pith.science/api/pith-number/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/graph.json","events_json":"https://pith.science/api/pith-number/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/events.json","paper":"https://pith.science/paper/P3T2ZBZ2"},"agent_actions":{"view_html":"https://pith.science/pith/P3T2ZBZ2GGIEYT3KPCFLAUSCAA","download_json":"https://pith.science/pith/P3T2ZBZ2GGIEYT3KPCFLAUSCAA.json","view_paper":"https://pith.science/paper/P3T2ZBZ2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.08103&json=true","fetch_graph":"https://pith.science/api/pith-number/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/graph.json","fetch_events":"https://pith.science/api/pith-number/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/action/storage_attestation","attest_author":"https://pith.science/pith/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/action/author_attestation","sign_citation":"https://pith.science/pith/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/action/citation_signature","submit_replication":"https://pith.science/pith/P3T2ZBZ2GGIEYT3KPCFLAUSCAA/action/replication_record"}},"created_at":"2026-07-05T09:53:39.953348+00:00","updated_at":"2026-07-05T09:53:39.953348+00:00"}