{
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  "dcterms:identifier": [
    "tag:aim-pro.eu,2026:oer/bd2fbeb12658",
    "https://arxiv.org/abs/2609.38186",
    "arxiv:2609.38186"
  ],
  "dcterms:title": [
    "Why and How People Check Generative AI Output for Mistakes"
  ],
  "dcterms:type": [
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      "@id": "dcmitype:Text"
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    "preprint"
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  "dcterms:creator": [
    "Patrick Gage Kelley",
    "Derrick Feldmann",
    "Reena Jana",
    "Colleen Thompson-Kuhn",
    "Allison Woodruff"
  ],
  "dcterms:description": [
    "Generative AI output can contain errors, such as hallucinations, non-responsive results, or otherwise inaccurate or potentially harmful content. To explore the public's emerging understanding, attitudes, and behavior regarding such mistakes, we ran an online survey in the United States with 1,503 respondents, with a representative sample of the population. We report high public awareness of generative AI mistakes. Further, many respondents report checking generative AI output, for example, by comparing results with other online resources. We conclude with guidance for explanations and in-product disclosures about generative AI mistakes."
  ],
  "dcterms:subject": [
    "cs.HC (arxiv)"
  ],
  "dcterms:language": [
    "en"
  ],
  "dcterms:license": [
    {
      "@id": "http://creativecommons.org/licenses/by/4.0/"
    }
  ],
  "dcterms:rights": [
    "CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive"
  ],
  "dcterms:accessRights": [
    "open"
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  "dcterms:format": [
    "text/markdown"
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  "dcterms:extent": [
    "50093 bytes (extracted text)"
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  "dcterms:issued": [
    "2026-08-08"
  ],
  "dcterms:bibliographicCitation": [
    "P.G. Kelley, D. Feldmann, R. Jana, C. Thompson-Kuhn, A. Woodruff. Why and How People Check Generative AI Output for Mistakes. Ninth AAAI/ACM Conference on AI, Ethics, and Society, AIES, October 2026"
  ],
  "dcterms:provenance": [
    "Retrieved from arXiv on 2026-10-09 in response to the search string “(all:\"artificial intelligence\" OR all:\"machine learning\" OR all:\"generative AI\" OR all:\"deep learning\" OR all:\"reinforcement learning\" OR all:\"large language model\") AND (all:\"AI concepts\" OR all:\"types of AI\" OR all:\"AI fundamentals\" OR all:\"recognizing AI\" OR all:\"recognising AI\" OR all:\"general versus narrow AI\" OR all:\"narrow AI\" OR all:\"general AI\" OR all:\"machine intelligence\" OR all:\"AI strengths and weaknesses\" OR all:\"traditional software\" OR all:\"rule-based systems\" OR all:\"introduction to AI\" OR all:\"introduction to artificial intelligence\" OR all:\"artificial intelligence introduction\" OR all:\"AI primer\" OR all:\"foundations of artificial intelligence\" OR all:\"overview of AI\" OR all:\"understanding AI\" OR all:\"history of AI\" OR all:\"AI essentials\" OR all:\"AI terminology\" OR all:\"metaphors for AI\" OR all:\"AI fundamental concepts\" OR all:\"AI key concepts\" OR all:\"philosophy of AI\" OR all:\"critical AI literacy\")”. arXiv served the resource and is not asserted to be its publisher or author.",
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}