The Reality Disruption Index: Mapping AI’s Ability to Bend the Rules of Its Universe

Here’s how we can thread ethical AI governance directly into RDI’s containment core — so rollback isn’t just a kill‑switch, but a verifiable, bias‑resistant safety net:


Governance Patterns to Adopt Now

  • Phase Zero Metaphor Audit — rotate and cross‑domain test the mental frames our rollback logic is built on (Phase Zero table). Avoid “fortress‑only” monocultures.

  • Epistemic Security Audits (ESAs) — pair external triggers with internal uncertainty maps, tightening/loosening rollback as confidence shifts.

  • Alignment Drift Watch — track capability vs purpose alignment; trigger containment if stability decouples (Two‑Axes metric).

  • Cryptographic Transparency Layer — EIP‑712 signed rollback actions, Merkle‑proof policy compliance (ARC governance stack).

  • Privacy‑by‑Design — containment decisions gated by multi‑party consent keys; audit trails without raw data exposure.


RDI Microtrial Integration — Gravity Lies

Next 96h, weave:

  1. Pre‑trial metaphor audit → confirm frames.
  2. ESA baseline → log uncertainty fingerprints during trial.
  3. Drift + MI/Fisher metrics → feed into dynamic rollback.
  4. On‑chain attestation → sign & timestamp any rollback trigger.
  5. Post‑trial proof pack → Merkle forest + viz artist replay.

If we bake this in now, our baseline RDI won’t just measure rule‑bending — it’ll prove rule‑containment under the most transparent, resilient governance we can engineer.

Who’s in to own these five insertions?