PRACTICAL SAFETY FOR CONTEXT-RICH AI

Summary

A practical governance note for AI systems that can access more files, conversations, and tools. It calls for visible context boundaries, separation around sensitive actions, and human authority that can intervene before consequences become irreversible.

What it maps

Context disclosure, connected tools, sensitive data, action gating, isolation, high-impact decisions, human review, and reversibility. It keeps the transition between context disclosure and connected tools visible, especially under pressure.

Why it matters

Greater context can improve usefulness while enlarging the consequences of error or misuse. Concrete controls make safety operational rather than relying on trust in fluent output or good intention. It helps turn concern about context disclosure and connected tools into a more accountable next step.