{"paper":{"title":"Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Users of consumer generative AI tools rarely let security and privacy information shape their adoption choices and instead rely on popularity as a proxy.","cross_cats":["cs.AI","cs.CR","cs.CY"],"primary_cat":"cs.HC","authors_text":"Chunxi Zhan, Jiaxun Cao, Pardis Emami-Naeini, Rithvik Neti, Sai Teja Peddinti, Yu Dong","submitted_at":"2026-04-19T05:57:20Z","abstract_excerpt":"Users increasingly rely on consumer-facing generative AI (GenAI) for tasks ranging from everyday needs to sensitive use cases. Yet, it remains unclear whether and how existing security and privacy (S&P) communications in GenAI tools shape users' adoption decisions and experiences. Understanding how users seek, interpret, and evaluate S&P information is critical for designing usable transparency that users can trust and act on. We conducted semi-structured interviews and design sessions with 21 U.S. GenAI users. Our findings suggest that available S&P information rarely drove initial adoption i"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"available S&P information rarely drove initial adoption in practice, as participants often perceived it as incomplete, ineffective, or lacking credibility. Instead, they relied on rough proxies, such as popularity, to infer S&P practices. After adoption, uncertainty about S&P practices constrained participants' willingness to use GenAI tools, particularly in high-stakes contexts, and, in some cases, contributed to discontinued use.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the experiences and expressed needs of the 21 U.S. participants are representative of broader GenAI user populations and that implementing the suggested transparency features would meaningfully improve user decision-making and sustained use.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"A qualitative study of 21 GenAI users finds that current S&P transparency is often seen as incomplete or untrustworthy, leading to proxy-based adoption and constrained use, with calls for independent evaluations and on-demand disclosures synthesized into five design dimensions.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Users of consumer generative AI tools rarely let security and privacy information shape their adoption choices and instead rely on popularity as a proxy.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"407506b4db65953b639f5f3edd4599bfd23379d8367b0e50186c0f113a821d38"},"source":{"id":"2604.17270","kind":"arxiv","version":2},"verdict":{"id":"2ed9a010-4231-4568-a6bb-12bb4873d07b","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-10T06:16:31.945241Z","strongest_claim":"available S&P information rarely drove initial adoption in practice, as participants often perceived it as incomplete, ineffective, or lacking credibility. Instead, they relied on rough proxies, such as popularity, to infer S&P practices. After adoption, uncertainty about S&P practices constrained participants' willingness to use GenAI tools, particularly in high-stakes contexts, and, in some cases, contributed to discontinued use.","one_line_summary":"A qualitative study of 21 GenAI users finds that current S&P transparency is often seen as incomplete or untrustworthy, leading to proxy-based adoption and constrained use, with calls for independent evaluations and on-demand disclosures synthesized into five design dimensions.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the experiences and expressed needs of the 21 U.S. participants are representative of broader GenAI user populations and that implementing the suggested transparency features would meaningfully improve user decision-making and sustained use.","pith_extraction_headline":"Users of consumer generative AI tools rarely let security and privacy information shape their adoption choices and instead rely on popularity as a proxy."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2604.17270/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"}