LLMs now convert archival narratives into quantitative indices that will be deployed in modern censorship/moderation fights, shifting evidentiary leverage to AI-built 'data.' Murrell–Grajzl’s LLM-constructed censorship index and ML innovation scores for 1525–1700 show how AI can manufacture authoritative metrics in formerly unquantifiable domains.
— Who controls metrics controls narratives; AI-generated historical indices will influence courts, regulators, and media by supplying ostensibly rigorous numbers to justify or resist speech governance and cultural policy.
Tyler Cowen
2025.08.21
100% relevant
This article highlights a paper that uses multiple LLMs to build an annual print-censorship index and finds a paradoxical innovation boost in censored themes, providing a ready-made metric with provocative policy implications.
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