Digital Consent Gate (DCG)
The Digital Consent Gate is a proposed foundational consent model for iKhan Gold systems. It is designed to help implementations request explicit acknowledgment of applicable rules, risks, and responsibilities before consequential participation.
Overview
In traditional systems, consent is often assumed or buried in unread terms of service. The DCG defines a design target for explicit, informed consent before consequential system access. It is not presently a universal cryptographic control, and each implementation must demonstrate its own safeguards.
DCG is a governance model, not legal advice or proof of compliance. A conforming implementation should make accountability, transparency, and participant responsibilities understandable and reviewable.
Core Principles
Awareness
A conforming implementation should present material terms, risks, and responsibilities in an understandable form and record an explicit acknowledgment. Acknowledgment alone does not prove full understanding.
Intent
The design model calls for a clear affirmative action and a meaningful choice. Implementations should test for accidental or coercive interaction patterns and provide a safe exit.
Responsibility
The model proposes recording which responsibilities a participant acknowledged. Responsibility and any later consequence remain subject to published rules, evidence, and accountable human review.
Restraint
Implementations should define participation boundaries and possible responses in advance. No loss of trust or access may be automatic or inferred solely from crossing the consent gate.
Implementation
DCG is a design model at the governance layer. A conforming implementation would be expected to:
- Review system-specific rules and participation requirements
- Explicitly acknowledge receipt of the presented consent information
- Acknowledge defined responsibilities and available review or appeal paths
- Confirm intent to operate within defined boundaries
A conforming implementation would require explicit confirmation before consequential access. Any consequence model must use published rules, human review, an appeal path, and a documented override process.