human-control

LUMINA-30: non-binding boundary framework for preserving effective human refusal before irreversible AI consequences.

LUMINA-30 incident review hub for evaluating whether effective human refusal authority remained before irreversible external impact from advanced AI systems.

Evidence architecture for justified reliance and practical human control in AI-mediated decisions.

Canonical GitHub organization profile and community health defaults for EvidenceBound.

Trust-aware recovery for autonomous agent fleets: detect trust breaks, compute dependency blast radius, reuse verified work, and selectively recompute affected branches on Google Cloud.

Framework-agnostic runtime for evidence-bound AI agents: provenance, executable policy, deterministic verification, blast-radius analysis and fail-closed selective recovery.

Reversible autonomy for professional AI agents: compute minimal policy-valid human authority and propagate later correction through reversible descendants without erasing unrelated safe work.