Give Your AI Agent a Budget for Decisions
Set clear limits for AI agents: define what they may decide, when they must stop and how people can review the actions they take.
Tag: AI governance
The Public-Service AI Test: Can People Complete the Ordinary Task?
A policy proposal for judging public-service AI through complete user journeys, including people who need a different way to access help.
Scaler Queen Offshore: The Right to Challenge an AI Decision — Part 11
In this speculative Scaler Queen chapter, an offshore city tests whether residents can challenge an AI decision—and reach a human with power to correct it.
AI Infrastructure Has a Neighbourhood: Ask Who Shares the Benefits
AI infrastructure decisions reach beyond server buildings. Communities need clear questions about local services, resources and promised benefits.
AI Memory Needs an Edit Button: Designing Continuity Without Freezing Identity
AI memory can support continuity, but people change. This conceptual essay asks how remembered context should remain visible, correctable and time-sensitive.
The Permission Economy: The Five Gates That Will Decide Who Can Build With AI
AI power increasingly depends on permission to access chips, models, data, creative rights and trusted markets. These five gates will shape the winners.
From Voluntary Promises to Mandatory Rules: What National AI Safety Standards Must Contain
OpenAI is calling for mandatory national AI safety requirements. Effective rules need measurable thresholds, independent audits and enforceable duties.
One Intelligence, Many Recipes: Why Planetary AI Still Needs Cultural Filters
A planetary AI does not need to erase cultural difference. Mary Oge Chuks explains how one shared intelligence could serve humanity through transparent, locally governed cultural filters.
OpenAI Says Astra Needs Stronger Guardrails: AI Capability Is Beginning to Trigger Its Own Safety Thresholds
OpenAI says its forthcoming Astra model is the first to trigger stronger safeguards under its safety protocol because of advanced cybersecurity capabilities. The milestone raises a bigger question: what happens when AI capability itself determines how tightly a model must be controlled?
Anthropic Research Shows an Early Path Toward AI Systems Improving AI
Anthropic researchers report that automated AI research systems improved performance across multiple alignment benchmarks, offering an early glimpse of machine-assisted AI development.