AI_based_signal_interpretation_tools.md

(Red‑zone draft)

AI‑Based Signal Interpretation Tools#

Machine‑learning or deep‑learning tools that interpret raw sensor data. They are flexible but opaque and substrate‑sensitive.

Dimensional Core (SET)#

• Spin: not relevant
• Elec: digital computation
• Temp: affects upstream sensors, not models

Why Red‑Zone#

AI tools operate in an opaque inference regime.
Their internal representations are not transparent, and behavior can drift with training data, updates, or environmental changes.

Regime Notes#

• pos‑regime: clean, well‑represented data
• Q‑regime: domain shift, partial overlap
• neg‑regime: out‑of‑distribution inputs, unstable predictions

Containment Notes#

Requires explicit dataset boundaries, versioning notes, and drift monitoring.