Unverified70% confidenceConceptExact time
When even genuine evidence can be dismissed as AI-generated fakes, liars gain a universal shield, a phenomenon researchers call the 'Liar's Dividend.'
2
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70%
Confidence
Long-term
Relevance
9/11/2026
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Related Claims
UnverifiedAcademia refers to the trust crisis caused by AI deepfakes as the "Infocalypse" or a zero-trust information environment, and has proposed the paradoxical effect known as the "Liar's Dividend."73% similarUnverifiedThe report displays risk levels and judgment confidence separately, lowering the confidence annotation when evidence is insufficient, in order to combat the erosion of professional judgment by AI hallucination problems68% similarUnverifiedDirectly accusing a reviewer in a rebuttal of "this was written by AI" is generally unwise, as it lacks evidence and may antagonize the Meta Reviewer or invite controversy.68% similarUnverifiedAI hallucination includes not only models fabricating non-existent facts, but also denying a fact that truly exists with high confidence.68% similarUnverifiedThe correct approach when using AI to find papers is to verify whether the papers actually exist and whether their content is accurate, as the legal field has had cautionary lessons involving AI hallucinations fabricating case citations.67% similar
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