Society · Concept
LLM Threat to Double-Blind Peer Review Anonymity
Finds LLMs deanonymize authors from titles/abstracts via conceptual signatures even without style or bibliography cues.
Forecast horizon
Forces revaluation of anonymity assumptions in an AI-augmented research ecosystem.
Connections
Connections · 1
How this node ties into the rest of the map, and the evidence behind each link.
Signal sources
Signal sources
Dated facts from primary sources in this direction.
AI in government Sep 2025
An OECD review of ~200 government AI use cases found 57% support automating or tailoring public services and 45% enhance decision-making — most still stuck in pilots.
OECD — Governing with AI → Labor signal Nov 2025
A Stanford payroll study found a 13% relative decline in employment for workers aged 22–25 in AI-exposed occupations since late 2022, while older peers held steady.
Stanford Digital Economy Lab → Information integrity Oct 2025
Microsoft reported AI-enhanced phishing reached a 54% click-through rate (4.5× traditional) and AI-generated fake IDs grew 195% globally in 2025.
Microsoft — Digital Defense Report 2025 →