wiki/attractors/consent

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Consent

This page is an attractor gateway, not a canon declaration. It compresses current evidence in the Work Vault and points toward underlying research.

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Semantic Compression

In this vault, consent is not merely permission. It is the boundary condition that determines whether a loop may continue, whether a trace may become admissible, and whether optimization remains aligned with the agency of the living system it touches.

Why It Matters

Consent is the structural difference between participation and extraction. It determines whether memory, governance, provenance, attention, and trust remain alive or collapse into coercive machinery.

Core Motifs

• boundary and authorization
• refusal and reversibility
• semantic fit
• consent as loop condition
• consent gradient
• consentful provenance

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Primary Research

• Intent-Consent
• Consent-Intent Compression Protocol
• Consent Is the Gradient Mask on Optimization
• The Historical Record of the Future Requires Consentful Loops
• Privacy Is a Membrane, Not a Wall

Adjacent Research

• Posture Fraud
• Machine Invitation
• Consent-Aware AI in Organizations
• AI Did Not Break Consent

Related Projects

• Consentful Cybernetics
• WitnessKey
• Quantum Invariants

Related Concepts

• Consent Physics
• Witness
• Provenance
• Governance
• Agency
• Trust

Related Invariants

• P3 - Authorization and Consent Gate
• P8 - Reversibility and Exit
• C6 - Consent Gradient

Unresolved / Needs Link Resolution

• No unresolved seed links in this pass.

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Open Questions

• How can consent remain legible across time?
• What makes consent revocable in machine-mediated systems?
• When does transparency become coercive?

Next Navigation

• Start with Intent-Consent for the local concept.
• Continue to Consent-Intent Compression Protocol for protocol structure.
• Read Consent Is the Gradient Mask on Optimization for the published_external essay path.

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