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Trust and personal choice

How do I know whether an AI source is reliable?

TideProof editorial guide · Reviewed 2026-09-14

Look beyond whether a source sounds authoritative. Check who published it, when it was written, what evidence it uses, and whether it addresses the exact question you are asking. Original research, official documentation, and direct records can be more useful than an unsourced summary.

Open the source and confirm that it actually supports the claim. Pay attention to scope: research about exposure to a technology does not automatically predict what will happen to a specific job. When credible sources disagree, preserve that uncertainty instead of forcing a simple answer.

Further reading

  • AI Risk Management Framework

    National Institute of Standards and Technology · Publication date not established

    Context and limits

    Guidance on assessing AI risks, protecting information and keeping people accountable for decisions.

    The framework was released in January 2023 and its generative-AI profile in July 2024. These are the resources' release dates, not the webpage's publication date. Citing this guidance does not mean TideProof has been certified by NIST.

    Sources explain the background. Examples and suggested next steps are TideProof's own guidance.

  • Generative AI and Jobs: A Refined Global Index of Occupational Exposure

    International Labour Organization · 2025

    Context and limits

    How AI may affect tasks within jobs, and why exposure to AI is not the same as a job disappearing.

    A global study of occupational exposure. It does not predict your personal job prospects, list vacancies or measure US layoffs.

    Sources explain the background. Examples and suggested next steps are TideProof's own guidance.

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