Overview
Mental Privacy and Cognitive Data is a core part of cognitive liberty because systems increasingly mediate the conditions under which people understand themselves and are understood by institutions.
The key governance question is not whether technology is good or bad in the abstract. It is whether power is visible, necessary, proportionate, contestable, and attached to an accountable human institution.
How the issue appears
- Data collection and retention
- Automated inference or classification
- Ranking, recommendation, or generated output
- Institutional use in a consequential decision
Rights and safeguards
- Clear notice and understandable purpose
- Data and inference minimization
- A practical route to correction and human review
- Protection against retaliation for lawful refusal or dissent
Governance practice
- Document the system’s purpose and limits
- Test errors across affected groups and contexts
- Preserve source records and version history
- Publish correction, appeal, and incident outcomes
Related issue hubs
AI Censorship and Algorithmic Suppression
How removal, restriction, demotion, reframing, personalized invisibility, and account-risk scoring shape speech without always producing a visible decision.
Open issue →AI Monitoring and Mental Privacy
Why systems do not need literal mind reading to govern people through inferred emotion, intent, attention, health, loyalty, or future risk.
Open issue →The scope and evidence differ by use case. A theme hub identifies a rights problem and governance tools; it does not assume that every system using the named technology produces the same harm.