Human oversight before automation
AI-supported systems should preserve meaningful human judgment where decisions affect resources, rights, dignity, trust, or accountability.
AI should strengthen human judgment and coordination. It should not replace responsibility, obscure accountability, or automate decisions beyond meaningful review.
AI-supported systems should preserve meaningful human judgment where decisions affect resources, rights, dignity, trust, or accountability.
Every system should define who decides, who reviews, who can challenge, who is accountable, and what evidence is required.
People affected by AI-assisted decisions should have routes for explanation, correction, review, and challenge.
Good governance requires records of what was decided, why it was decided, what evidence was used, and what happened afterward.
Systems should be matched to context, risk, user capability, institutional readiness, and seriousness of possible harm.
Trustworthy systems must make responsibility visible instead of hiding it inside tools or workflows.