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pith:DKWIZI7E

pith:2026:DKWIZI7ECNDZLA44GKZIV7NLST
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Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI

Chunxi Zhan, Jiaxun Cao, Pardis Emami-Naeini, Rithvik Neti, Sai Teja Peddinti, Yu Dong

Users of consumer generative AI tools rarely let security and privacy information shape their adoption choices and instead rely on popularity as a proxy.

arxiv:2604.17270 v2 · 2026-04-19 · cs.HC · cs.AI · cs.CR · cs.CY

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest 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.

C2weakest 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.

C3one 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.

Receipt and verification
First computed 2026-06-23T01:12:07.339172Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

1aac8ca3e4134795839c32b28afdab94c270768e3b3f7b7452594913b22c936d

Aliases

arxiv: 2604.17270 · arxiv_version: 2604.17270v2 · doi: 10.48550/arxiv.2604.17270 · pith_short_12: DKWIZI7ECNDZ · pith_short_16: DKWIZI7ECNDZLA44 · pith_short_8: DKWIZI7E
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DKWIZI7ECNDZLA44GKZIV7NLST \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 1aac8ca3e4134795839c32b28afdab94c270768e3b3f7b7452594913b22c936d
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-04-19T05:57:20Z",
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