Circle of Competence Enforcement

Domain admissibility in decision making confines judgments to areas where genuine understanding exists. It assesses causal comprehensibility, boundary honesty, and monitoring capability to prevent overconfidence and the consequences of acting outside your expertise.

Enforce governance boundaries for autonomous decision making by requiring human oversight for any expansion of knowledge limits. This prevents models from automatically expanding their domain boundaries and ensures judgments stay within monitored, comprehensible areas.

Assess if an investment is outside your competence by evaluating causal comprehensibility, boundary honesty, and monitoring capability. You must explicitly acknowledge ignorance and flag the opportunity for escalation if the underlying dynamics are not understood.

Document explicit ignorance for risk oversight when evaluating specialized situations or technologies where assumptions might change. This forces the identification of what is not understood and verifies you can effectively monitor the situation.

Admissibility enforcement works for evaluating specialized technology startups by first assessing if the underlying science and market dynamics are sufficiently understood. It flags the evaluation for escalation if the business falls outside your defined expertise.