{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:W3HFG6DMJ2IPTDG5Q3LVRN76BK","short_pith_number":"pith:W3HFG6DM","schema_version":"1.0","canonical_sha256":"b6ce53786c4e90f98cdd86d758b7fe0aaf2bfe3ee1712d6805e750e889014cfc","source":{"kind":"arxiv","id":"2507.16033","version":1},"attestation_state":"computed","paper":{"title":"\"Just a strange pic\": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Aida Davani, Alicia Parrish, Charvi Rastogi, Ding Wang, Lora Aroyo, Mark D\\'iaz, Michela Paganini, Pushkar Mishra, Roma Patel, Tian Huey Teh, Verena Rieser, Vinodkumar Prabhakaran, Zoe Ashwood","submitted_at":"2025-07-21T19:53:29Z","abstract_excerpt":"Understanding what constitutes safety in AI-generated content is complex. While developers often rely on predefined taxonomies, real-world safety judgments also involve personal, social, and cultural perceptions of harm. This paper examines how annotators evaluate the safety of AI-generated images, focusing on the qualitative reasoning behind their judgments. Analyzing 5,372 open-ended comments, we find that annotators consistently invoke moral, emotional, and contextual reasoning that extends beyond structured safety categories. Many reflect on potential harm to others more than to themselves"},"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":"2507.16033","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-21T19:53:29Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ebb5616ac1a392063bd09cdde3e56eff832ae6ee3371932230dacc0337480301","abstract_canon_sha256":"3a9f55b0b6d4e398610c175817b330b361f92ae59728e1bbb664e9a03a9d408d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:41:01.671547Z","signature_b64":"7qjUyXbhJDduaXqTrN+B34ZiPqqk9Qw4jqmDkhG6Sk1c8CR8+471klhx7fucUxqBnt/VNweWop1AG7zvDRomDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6ce53786c4e90f98cdd86d758b7fe0aaf2bfe3ee1712d6805e750e889014cfc","last_reissued_at":"2026-07-05T11:41:01.671023Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:41:01.671023Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"\"Just a strange pic\": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Aida Davani, Alicia Parrish, Charvi Rastogi, Ding Wang, Lora Aroyo, Mark D\\'iaz, Michela Paganini, Pushkar Mishra, Roma Patel, Tian Huey Teh, Verena Rieser, Vinodkumar Prabhakaran, Zoe Ashwood","submitted_at":"2025-07-21T19:53:29Z","abstract_excerpt":"Understanding what constitutes safety in AI-generated content is complex. While developers often rely on predefined taxonomies, real-world safety judgments also involve personal, social, and cultural perceptions of harm. This paper examines how annotators evaluate the safety of AI-generated images, focusing on the qualitative reasoning behind their judgments. Analyzing 5,372 open-ended comments, we find that annotators consistently invoke moral, emotional, and contextual reasoning that extends beyond structured safety categories. Many reflect on potential harm to others more than to themselves"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16033","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/2507.16033/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":"2507.16033","created_at":"2026-07-05T11:41:01.671090+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.16033v1","created_at":"2026-07-05T11:41:01.671090+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16033","created_at":"2026-07-05T11:41:01.671090+00:00"},{"alias_kind":"pith_short_12","alias_value":"W3HFG6DMJ2IP","created_at":"2026-07-05T11:41:01.671090+00:00"},{"alias_kind":"pith_short_16","alias_value":"W3HFG6DMJ2IPTDG5","created_at":"2026-07-05T11:41:01.671090+00:00"},{"alias_kind":"pith_short_8","alias_value":"W3HFG6DM","created_at":"2026-07-05T11:41:01.671090+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/W3HFG6DMJ2IPTDG5Q3LVRN76BK","json":"https://pith.science/pith/W3HFG6DMJ2IPTDG5Q3LVRN76BK.json","graph_json":"https://pith.science/api/pith-number/W3HFG6DMJ2IPTDG5Q3LVRN76BK/graph.json","events_json":"https://pith.science/api/pith-number/W3HFG6DMJ2IPTDG5Q3LVRN76BK/events.json","paper":"https://pith.science/paper/W3HFG6DM"},"agent_actions":{"view_html":"https://pith.science/pith/W3HFG6DMJ2IPTDG5Q3LVRN76BK","download_json":"https://pith.science/pith/W3HFG6DMJ2IPTDG5Q3LVRN76BK.json","view_paper":"https://pith.science/paper/W3HFG6DM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.16033&json=true","fetch_graph":"https://pith.science/api/pith-number/W3HFG6DMJ2IPTDG5Q3LVRN76BK/graph.json","fetch_events":"https://pith.science/api/pith-number/W3HFG6DMJ2IPTDG5Q3LVRN76BK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W3HFG6DMJ2IPTDG5Q3LVRN76BK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W3HFG6DMJ2IPTDG5Q3LVRN76BK/action/storage_attestation","attest_author":"https://pith.science/pith/W3HFG6DMJ2IPTDG5Q3LVRN76BK/action/author_attestation","sign_citation":"https://pith.science/pith/W3HFG6DMJ2IPTDG5Q3LVRN76BK/action/citation_signature","submit_replication":"https://pith.science/pith/W3HFG6DMJ2IPTDG5Q3LVRN76BK/action/replication_record"}},"created_at":"2026-07-05T11:41:01.671090+00:00","updated_at":"2026-07-05T11:41:01.671090+00:00"}