FFTAC Cognitive liberty · defiance · participation
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Trace input to decision and outcome

Participation Ledger And Measurement

An accountability record for documenting mandates, participants, contributions, responses, implementation, outcomes, corrections, privacy, and appeals.

Accountability framework Reviewed 2 min read

A participation ledger records how input moves through a system. It prevents organizations from claiming participation merely because people attended a meeting, submitted prompts, completed a survey, or appeared in a dataset.

The ledger is not a score for people. It is an accountability record for institutions.

Participation Start reading
On this page
  1. Minimum Ledger Fields
  2. Metrics That Matter
  3. Compact Public Template
  4. AI Governance Use
  5. Privacy And Anti-Surveillance
  6. Related Pages

Minimum Ledger Fields

  • Decision and mandate: what was open to change?
  • Participants and access: who was invited, who participated, and who was missing?
  • Contribution: what proposal, concern, evidence, or dissent was submitted?
  • Decision owner and response: who answered, what was accepted or rejected, and why?
  • Change and verification: what changed, and how can implementation be inspected?
  • Review and privacy: what appeal or next review follows, and what data is retained or protected?

Metrics That Matter

Access

Language, disability, device, location, schedule, compensation, support, representation, and barriers.

Influence

Reasoned responses, changed objectives or rules, response time, preserved dissent, and appeal use.

Record

Stable minutes, dockets, repositories, provenance, accessibility, version history, and correction latency.

Outcome

Targeted harm, performance gaps, distribution of benefits and burdens, durable governance rights, and new risks.

Compact Public Template

Record the decision, owner, participation window, affected people, offered channels, contributions, disagreements, accepted changes, rejected changes and reasons, implementation evidence, open issues, appeal date, and privacy note.

AI Governance Use

For an AI system, connect stakeholder input to problem-definition changes, data decisions, new evaluation cases, post-training changes, deployment restrictions, incident remediation, appeal outcomes, and release or procurement decisions.

Privacy And Anti-Surveillance

Publish the minimum information needed for accountability. Use aggregate or pseudonymous reporting where appropriate, restrict sensitive records, define retention, and never infer ideology or mental state from participation data.