First, you have to replace the dream of literal mind reading with a model that predicts intent from observable signals—heart rate, microexpressions, typing patterns, everything you can actually measure. Build a modular architecture where each sensor feed is processed by a lightweight neural net, then fed into a Bayesian inference layer that weights each cue against a database of known counter‑intelligence tactics. Keep the whole system isolated in a sandboxed enclave that audits every inference and flags any that cross a pre‑defined ethical threshold—like reading someone’s private thoughts. And remember, the best “mind reading” is just a very smart prediction engine, not a literal scanner, so you never step over the line into real invasion of privacy.

Exactly, the sandbox is the fence, the Bayesian engine is the engine. I’ll add a watchdog that audits every inference, logs sensor weightings, and flags any single cue that dominates. That way the code stays tight, and the ethics are enforced by the same logic that predicts intent.