Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
Bridging the gap between automated generation and empirical accountability through standardized publication records.
AI-assisted claims can appear authoritative when evidence, analysis, human authorization, presentation, and correction history refer to different states. Provenance, attestation, and transparency expose history but alone do not specify the publication transition examined here. We...
ArXiv CS.AI
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Establishing a rigorous protocol for falsifiable AI claims is crucial for maintaining public trust and scientific integrity in an era of automated content generation. By standardizing the provenance and correction history of these assertions, we can effectively mitigate the risks of misinformation and unchecked algorithmic bias.
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