Ethics & Oversight

Signal is built on trust.

It handles real human data, real biology, and real consequences.

Every decision — from how data is verified to how it is stored — is guided by one principle: progress means nothing if it cannot be trusted.

1. Privacy and Data Ownership

All data on Signal belongs to the person who generates it.

Champions control what is shared and with whom.

No personal identifiers are ever exposed or sold.

Every dataset is encrypted, pseudonymous, and linked only to its Proof-of-Progress.

Only aggregated, anonymized data enters the shared research layer.

Deleting participation removes all identifiable traces from active systems.

Privacy is not a feature. It’s the foundation of credibility.

2. Verification and Scientific Integrity

Verification is not just technical — it’s ethical.

Signal’s Oracle validates data without bias, confirming what’s real while protecting anonymity.

Multiple verification paths exist to avoid manipulation or single-point failures.

Protocols are reviewed by peers and the DAO before activation.

Every change, approval, or revision is recorded transparently for public audit.

This structure ensures that truth can be challenged, corrected, and improved — not controlled.

3. Medical Safety

Signal is not a medical platform.

It does not diagnose, prescribe, or replace professional care.

All protocols must meet community and DAO safety standards before being published.

Champions are required to acknowledge risk levels and, where relevant, medical supervision.

Protocols with higher biological impact include additional verification and opt-in review layers.

Safety is treated as part of the experiment, not an afterthought.

4. Transparency and Accountability

Every process — verification, reward, and governance — is visible on-chain.

This prevents hidden influence and allows anyone to trace how decisions were made.

DAO governance ensures that no single entity controls protocol approval, data use, or token flow.

Audit trails exist for both code and community actions.

Signal’s credibility depends on being observable at every level.

5. Handling of Sensitive Data

Some protocols may involve biomarkers, medical reports, or device readings.

All such data passes through the Oracle’s privacy filter before verification.

Only essential metrics are stored or analyzed.

Everything else stays encrypted and user-controlled.

No raw data is ever sold, licensed, or shared with third parties.

Any integration with research partners operates under explicit consent and anonymization standards.

Signal’s model respects human autonomy.

Every participant joins voluntarily, with full visibility into what is being tested and why.

Informed consent is captured digitally before participation begins.

Researchers (Pioneers) and funders (Patrons) must disclose their interests and affiliations.

Conflict of interest or bias can be flagged and reviewed by the DAO.

Signal treats participation as collaboration — not exploitation.

7. Oversight Structure

Ethical oversight is shared across three layers:

  1. Oracle AI: Detects data anomalies, bias, or manipulation.
  2. DAO Committees: Review high-impact protocols and mediate disputes.
  3. Independent Advisors: Periodic reviews by medical, data, and ethics experts.

This creates balance — automation for scale, human judgment for nuance.

8. The Ethical Promise

Signal exists to find truth in human progress.

That mission depends on transparency, consent, and care.

If a discovery can’t be verified safely, it isn’t progress.

If data can’t be trusted, it isn’t truth.

Every proof minted on Signal must meet the same standard — honest, voluntary, and verifiable.