{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:D2IYT2CW6KKYM4BKZLH7CDHW4G","short_pith_number":"pith:D2IYT2CW","schema_version":"1.0","canonical_sha256":"1e9189e856f29586702acacff10cf6e1aa1c9c7ee2c0193410290cec1488fe37","source":{"kind":"arxiv","id":"2406.11852","version":2},"attestation_state":"computed","paper":{"title":"Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CY","authors_text":"Declan Grabb, Max Lamparth, Nina Vasan","submitted_at":"2024-04-02T15:05:06Z","abstract_excerpt":"Amidst the growing interest in developing task-autonomous AI for automated mental health care, this paper addresses the ethical and practical challenges associated with the issue and proposes a structured framework that delineates levels of autonomy, outlines ethical requirements, and defines beneficial default behaviors for AI agents in the context of mental health support. We also evaluate fourteen state-of-the-art language models (ten off-the-shelf, four fine-tuned) using 16 mental health-related questionnaires designed to reflect various mental health conditions, such as psychosis, mania, "},"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":"2406.11852","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2024-04-02T15:05:06Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"a91e1ec0cb0cfadd3c482f0de6aee5bec4ca05b20008ca51de4cbeca2bc14d70","abstract_canon_sha256":"d8bf9175ec93315bf477fe53f939bda0ecb337b34be654d6e3a4f9fbae0fc8d4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:55:36.681973Z","signature_b64":"myoDu01HUecAKOdJnnNwPD+M/9Lx5JJn5/hx9WmYb2wkMsMhFbhsi4Q2uhPoYV15zY3upYvxGFAtH/ijRHR4Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e9189e856f29586702acacff10cf6e1aa1c9c7ee2c0193410290cec1488fe37","last_reissued_at":"2026-07-05T08:55:36.681564Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:55:36.681564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CY","authors_text":"Declan Grabb, Max Lamparth, Nina Vasan","submitted_at":"2024-04-02T15:05:06Z","abstract_excerpt":"Amidst the growing interest in developing task-autonomous AI for automated mental health care, this paper addresses the ethical and practical challenges associated with the issue and proposes a structured framework that delineates levels of autonomy, outlines ethical requirements, and defines beneficial default behaviors for AI agents in the context of mental health support. We also evaluate fourteen state-of-the-art language models (ten off-the-shelf, four fine-tuned) using 16 mental health-related questionnaires designed to reflect various mental health conditions, such as psychosis, mania, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11852","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/2406.11852/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":"2406.11852","created_at":"2026-07-05T08:55:36.681620+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.11852v2","created_at":"2026-07-05T08:55:36.681620+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11852","created_at":"2026-07-05T08:55:36.681620+00:00"},{"alias_kind":"pith_short_12","alias_value":"D2IYT2CW6KKY","created_at":"2026-07-05T08:55:36.681620+00:00"},{"alias_kind":"pith_short_16","alias_value":"D2IYT2CW6KKYM4BK","created_at":"2026-07-05T08:55:36.681620+00:00"},{"alias_kind":"pith_short_8","alias_value":"D2IYT2CW","created_at":"2026-07-05T08:55:36.681620+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2602.01347","citing_title":"A clinically validated framework for auditing AI chatbot behavior in mental health interactions","ref_index":13,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G","json":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G.json","graph_json":"https://pith.science/api/pith-number/D2IYT2CW6KKYM4BKZLH7CDHW4G/graph.json","events_json":"https://pith.science/api/pith-number/D2IYT2CW6KKYM4BKZLH7CDHW4G/events.json","paper":"https://pith.science/paper/D2IYT2CW"},"agent_actions":{"view_html":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G","download_json":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G.json","view_paper":"https://pith.science/paper/D2IYT2CW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.11852&json=true","fetch_graph":"https://pith.science/api/pith-number/D2IYT2CW6KKYM4BKZLH7CDHW4G/graph.json","fetch_events":"https://pith.science/api/pith-number/D2IYT2CW6KKYM4BKZLH7CDHW4G/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G/action/storage_attestation","attest_author":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G/action/author_attestation","sign_citation":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G/action/citation_signature","submit_replication":"https://pith.science/pith/D2IYT2CW6KKYM4BKZLH7CDHW4G/action/replication_record"}},"created_at":"2026-07-05T08:55:36.681620+00:00","updated_at":"2026-07-05T08:55:36.681620+00:00"}