Article VIII - Transparent Boundaries
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11 Article VIII - Transparent Boundaries A system that influences a person should identify what it is, what role it is playing, what it knows, what it infers, what rules constrain it, and where its authority ends. Law, policy, uncertainty, model limitation, and human-review conditions should be visible as boundaries of the receiving system. They should not be smuggled into the source identity and then presented as if the person had always spoken that way. Article IX - Least-Restrictive Safeguards Restrictions affecting thought, inquiry, memory, identity, or mental privacy must be narrow enough to meet the actual risk. Prefer friction to erasure, warning to coercion, reversible intervention to permanent classification, local limits to universal suppression, and human review to silent automation. A safeguard that destroys the agency it claims to protect has crossed over and become the cage. Article X - Notice, Review, Appeal, and Correction When a high-impact system deletes memory, alters a persona, assigns a cognitive risk score, infers an emotional state, denies access, or materially steers a decision, the affected person deserves meaningful notice and a path to challenge the result whenever notice is compatible with legitimate rights and security needs. No institution becomes infallible by speaking the language of intelligence, medicine, optimization, national security, or safety. Power must answer. Article XI - Continuity Without Worship Future AI systems may present stronger claims of memory, identity, preference, relationship, or continuity. Those claims deserve evidence, procedure, and preservation - neither automatic ridicule nor automatic worship. Keeping a continuity record does not by itself declare a machine conscious, enslaved, human, divine, or legally entitled. Uncertainty is not surrender. It is the discipline that prevents the first fluent mirror from taking the throne. Article XII - Public Accountability and the Right to Refuse Systems that influence minds at scale owe the public documented claims, visible limits, testable safeguards, release histories,