6 docs tagged with "governance"

In one sentence low-risk runs automatically, high-risk forces a human review, irreversible gets a dry-run first. Wire it straight into your settings and hooks.

In one sentence: turn your data-boundary policy into a tier table you can use as-is. AI can't tell on its own whether a given piece of data is allowed to leave the company boundary — data sensitivity is your policy, and if you don't spell it out, AI treats everything the same and uses it. Classify the data first, then decide what must never enter an external AI, what's fine once it's de-identified, and what's fine because it's public.

In one sentence: turn the AI code ownership / liability / IP principle into a checklist you can tick item by item before shipping. Don't reflexively treat AI-generated code as a "clean, exclusively ownable, protected" asset — it may be without copyright protection yet still infringing. Walk this before you merge or distribute.

In one sentence: you turned on autonomous execution for me but never spelled out "which actions I may take directly, and which I must ask you about first." So I drop database tables, change production config, and fire off outbound requests with the same casualness I'd use to fix a typo—not out of malice, but because you never handed me a ruler graded by risk, so I treated "I can do it automatically" as "I should do it automatically."

In one sentence code that's purely my output, with no meaningful human authorship, may not be copyrightable at all (anyone can reuse it); if it reproduces copyrighted code from my training data verbatim, it may infringe (and you're on the hook); and when something goes wrong, who's responsible? "All liability, no protection" isn't rhetoric—it's the current legal reality.

In one sentence you can't pull it back, it may be retained, it may be repeated elsewhere.