Research preview. Independent expert review is pending. The worked analyses are hypothetical. Method and corrections
AIAIGovSpec
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PatternBenefits and harmful patternsemerging

Systematically unreliable provenance

An information environment in which the origin and authenticity of content can no longer be established at scale, so that individual misleading items become a condition rather than incidents.

Source-linked claims

source-assertionConfidence: highContestability: low

AI-enhanced creation and dissemination of disinformation is identified among AI's risks alongside bias, surveillance, and energy consumption.

Our reading: The report names the risk; it does not measure the scale of provenance failure, which remains an empirical question.

Inspect evidence · 1 passage

Passage summaries are paraphrases, not quotations. Open the source to read the full passage.

Governing AI for Humanity: Final Report (opens in a new tab)

Executive summary, para. iii (p. 7)

AI bias and surveillance are joined by newer concerns including confabulations of large language models, AI-enhanced creation and dissemination of disinformation, risks to peace and security, and the energy consumption of AI systems at a time of climate crisis.

Scope note: An advisory body report representing a majority consensus of its members in their personal capacity. It is not a UN member-state decision. Page locators refer to the PDF's printed page numbers.

Passage checked 2026-09-06 · un-hlab-risks

Appears in worked analyses

Provenance

  1. Governing AI for Humanity: Final Report

    United Nations High-level Advisory Body on Artificial Intelligence · report · publication date not recorded · Final report, September 2024 (eISBN 9789211067873)

    An advisory body report representing a majority consensus of its members in their personal capacity. It is not a UN member-state decision. Page locators refer to the PDF's printed page numbers.

    un-hlab-governing-ai · Last checked 2026-09-06 · claims and passages