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#human-computer interaction Open access

Experts disagree on how to fight AI disinformation, but agree that health and politics need different solutions

Alexander Loth Martin Kappes Marc-Oliver Pahl
Jul 2026 · Harvard Kennedy School Misinformation Review · 1 citation · 18 references
Computer Science

Abstract

When 54 international experts assessed AI-generated disinformation threats, they revealed a surprising pattern: while video deepfakes received the highest average threat ratings in the political domain (M = 6.31/7), the pattern differed in the health domain, where AI-generated text received the highest average rating (M = 5.80). Experts also fail to converge on what to do: government regulation drew the most “most effective” votes (30%) and substantial “least effective” selections (15%), exposing deep uncertainty about how to respond. These findings offer an initial expert map of an AI-disinformation landscape that is still rapidly forming.

DOI arXiv Semantic Scholar
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