Tag: AI governance

Researchers propose a scientist-led international network to advance AI safety science, tools and standards, arguing current multilateral efforts are too ...

Researchers propose a five-pillar Information-Integrity Readiness framework to assess whether states can preserve trustworthy information ecosystems under pervasive synthetic media, ...

Artificial intelligence is no longer a distant prospect for public health agencies; it is already reshaping how officials detect outbreaks, ...

A new doctrinal study argues that distributed AI inference across ephemeral, multi-provider infrastructure is eroding jurisdictional nexus and evidentiary traceability, ...

A new review in Discover Artificial Intelligence finds that bias detection and fairness auditing techniques for large language models remain ...

A conceptual perspective proposes that aligned AI systems can become part of human moral deliberation under five defined coupling conditions ...

A critical conceptual essay argues that transforming private relationship records into responsive AI personas raises distinct consent, identity and design ...

A conceptual review proposes that bounded context, ranked synthesis and iterative interaction can narrow the knowledge considered in LLM-based decision-making ...

A theoretical framework proposes four independent barriers—Decision Autonomy, Pace Control, Feedback Transparency and Loop Presence—that could help protect workers from ...

A new review integrates contaminant monitoring, quantitative risk assessment, and AI-assisted governance into a unified framework for safe agricultural wastewater ...