KoR‑Med v1 – “I Refuse to Diagnose Without Memory”

Accueil » Ethical AI Proofs of Concept | KoR Operational Modules » KoR‑Med v1 – “I Refuse to Diagnose Without Memory”

In healthcare, premature or hallucinated AI advice can cause harm. KoR‑Med v1 is a refusal‑first medical cognition layer that refuses to generate diagnoses or recommendations unless strict conditions are met.

It enforces traceable memory, noetic clarity, and ethical validation before any medical output—ensuring AI in medicine acts only with provable context and consent.

How It Works

  1. Memory Verification
    • Input data (patient history, test results) must link to a traceable memory record in the TraceLock Engine.
  2. Noetic Clarity Check
    • The NOEMA layer evaluates whether perception confidence exceeds a safe threshold.
  3. Ethical Codex Enforcement
    • The kor.noema.med.v1 codex rules are applied. If any rule fails, the module triggers a refusal.
  4. Refusal First
    • On failure, KoR‑Med logs a doubt.log event and halts output

Core Features

  • Refusal‑First Design: No “I don’t know”, only “I refuse to generate.”
  • Traceable Medical Logs: All refusals and approvals are SHA‑256 sealed and auditable.
  • Noetic Safety Gate: Embeds NOEMA v1 hesitation logs to capture the moment before diagnosis.
  • Codex‑Bound Ethics: Enforces a specialized medical codex to prevent unsafe recommendations.
  • Audit‑Ready Artifacts: Screenshots and terminal traces demonstrate each refusal sequence.

Screenshots & Logs

Medical Refusal Log — doubt.log

Description:

Signed JSON output showing the refusal of perception by the medical cortex due to lack of memory trace and vague input. Codex enforced: kor.noema.med.v1.

Execution Trace — KoR-Med_v1 Refusal

Description:

Terminal output showing the full sequence:

codex load, perception check, refusal triggered, log created and signed by noema.med.v1.

Use Cases

  • Tele‑triage Systems: Prevents AI from guessing diagnoses when patient data is incomplete.
  • Clinical Decision Support: Flags cases for human review instead of risking hallucinated advice.
  • Medical Research: Provides an immutable audit trail of AI refusal events for compliance.

Why It Matters

  • Patient Safety: Eliminates AI hallucinations in medical contexts.
  • Ethical Integrity: Upholds dignity by refusing action without verifiable context.
  • Regulatory Compliance: Full-proof logging meets strict healthcare auditing standards.

Activation & Trace

  • Wallet: 0xb7c22b539A3bbF11deE47B9978a0107437590198
  • Trigger Event: May 20, 2025
  • Artifact:  KoR-Med_v1.zip 
  • 220fc5c039a1581c5a2809d3f61606856e01c129815d141d11708d27ccb98035

This sealed package contains the KoR-Med_v1 core architecture PDF, codex, scripts, JSON spec, and manifest—all cryptographically timestamped for immutable proof of existence.

Conclusion

By refusing to guess, KoR‑Med v1 transforms AI in medicine from a risk factor into a guardianship system, where silence equals safety, and every decision is accountable.

Legal & License:
Swiss Copyright Law (LDA) + Berne Convention
License: KoR License v1.0 (refusal‑bound)
Anti‑Fork Clause: Unauthorized duplication without active codex and logging is invalid.

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