#governance

A new survey points to a widening control gap in enterprise AI, with most IT managers lacking full oversight of agents and many expecting security guardrails to fall behind quickly.

In a new statement from Sam Altman, OpenAI argues that the central question for advanced AI is not just what the technology can do, but who holds power over it and how broadly its benefits are distributed.

An AI News feature argues that enterprises deploying autonomous agents need infrastructure that governs how those systems interact, reflecting a growing concern that agentic AI creates operational risk as well as new ROI

A PhD research project at TU/e says citizen participation is widely treated as essential to the energy transition, but too often remains more aspirational than real, challenging policymakers to rethink public involvement

A Deloitte-linked MIT Technology Review Insights article warns that AI agents are expanding enterprise attack surfaces while many companies still lack mature governance for autonomous agents.

A Rest of World essay argues that AI systems aimed at solving social problems cannot succeed on technical performance alone and need human support, institutional capacity, and accountability to produce real benefits.

A Wall Street Journal report has renewed scrutiny around whether Sam Altman is the executive investors want leading OpenAI into public markets, with concerns centered on governance, focus, and overlapping outside bets.

As enterprise AI adoption grows, many companies are favoring tightly controlled assistive systems over fully autonomous tools, signaling a more cautious phase of deployment.

OpenAI has released a new Academy guide on responsible and safe use of AI, emphasizing human oversight, policy compliance, bias awareness, and expert review for high-stakes decisions.

Organizations testing AI agents that can plan tasks, make decisions, and act with limited human input are being pushed toward a harder question: who governs the system once it starts doing real work?

A new AI News report argues that modern AI systems create attack surfaces traditional security models were not built to handle, pushing security teams toward AI-specific controls and thinking.