EIOC-AI Ethical & Data Boundary Addendum

This addendum defines the ethical, data, and governance boundaries for all systems, tools, and AI integrations aligned with the Emotional Indicators of Compromise (EIOC) framework. It establishes three foundational governance instruments: the Data Minimization Principle, which constrains observation to behavioral pattern categories; the Operator Protection Commitment, which prohibits the use of EIOC insights for evaluation, discipline, or surveillance; and the Closed-Loop Drift Refinement model, which ensures that system learning occurs at the category level without referencing individual operator histories. Together, these instruments define the governance perimeter within which EIOC operates and provide the ethical foundation for enterprise adoption, regulatory alignment, and AI risk review.