Public GenAI-Use Statement

Last Updated 12/31/2025
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APA
Learn & Work Ecosystem Library. (2025). Public GenAI-Use Statement. Retrieved 20 August 2026, from https://learnworkecosystemlibrary.com/glossary/public-genai-use-statement/
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"Public GenAI-Use Statement." Learn & Work Ecosystem Library, 31 December 2025, https://learnworkecosystemlibrary.com/glossary/public-genai-use-statement/. Accessed 20-08-2026.
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"Public GenAI-Use Statement." Learn & Work Ecosystem Library. 20-08-2026. https://learnworkecosystemlibrary.com/glossary/public-genai-use-statement/.

An organization-level disclosure that clarifies what role AI did—and did not—play in producing knowledge, credentials, or guidance. These statements support trust, reproducibility, and informed interpretation while acknowledging the growing normalization of AI-assisted work.  These statements are increasingly required by publishers, journals, educators, funders, researchers, workforce organizations, and other oversight bodies to ensure transparency around AI-assisted creation, analysis, and decision-making. These statements commonly address:

  • Scope of Use - Whether and how GenAI is used in content creation, editing, analysis, coding, translation, or administrative tasks; and whether use is optional, limited, or embedded in workflows.
  • Human Oversight and Accountability - Describes review or approval processes and clarifies that humans retain responsibility for accuracy, interpretation, and final decisions.
  • Data and Privacy Protections - Whether proprietary, personal, or sensitive data are excluded from GenAI tools Safeguards to prevent data leakage or unauthorized reuse.
  • Validation and Quality Control - Methods used to check accuracy, bias, hallucinations, or misuse of information. Ongoing monitoring or auditing practices, where applicable.
  • Ethical and Policy Alignment - Alignment with organizational policies, publisher guidelines, or professional standards; and disclosure of any restrictions imposed by funders, regulators, or partners.
  • Transparency to Readers or Users - How AI use is communicated to audiences (e.g., footnotes, acknowledgments, methodology sections).

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