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RIGHTS / EVIDENCE / AI GOVERNANCE

Cognitive Liberty: Rights, Evidence, and AI Governance

A seven-report research collection on mental privacy, algorithmic observation, information control, cognitive conflict, due process, and the limits that should govern systems capable of inferring or influencing inner states.

Cognitive liberty is used here as an organizing concept for mental self-determination: the ability to think, doubt, remember, revise oneself, and participate in ordinary life without unnecessary neural, emotional, or psychological surveillance. The collection separates private thought from outward conduct and treats human accountability, safety, and freedom as compatible rather than opposing goals.

7 submitted reports 30 retained sources Evidence reviewed: Jul 27, 2026 Spanish parity reviewed: Jul 27, 2026

CONCEPTUAL MODEL

Four pillars for evaluating power over the mind

The collection does not treat every technology or intervention as equivalent. These pillars identify the rights questions that recur across different systems.

01

The sovereign interior

Private thought, memory, belief, doubt, and imagination should not be treated as completed conduct or as a permanent risk score.

02

Inference is not proof

A model may estimate attention, emotion, intent, or future behavior, but an institution must not treat that estimate as direct knowledge of the person.

03

Visible and contestable governance

Consequential ranking, restriction, profiling, memory, and automated decisions require notice, reasons, records, proportionality, and a meaningful path to human review.

04

Resilience is not obedience

Defending a society against manipulation should strengthen verification, pluralism, public reasoning, and authenticated communication rather than police lawful beliefs.

GOVERNANCE TESTS

When a restriction or inference affects rights, ask seven questions

These tests distinguish accountable safety and administration from opaque, disproportionate, or scientifically unsupported control.

Specific

The rule, affected system, data, decision, and harm must be defined rather than hidden behind broad safety language.

Visible

People should know when AI materially classifies, limits, summarizes, monitors, or changes their persistent profile.

Proportionate

The intervention should match demonstrable outward harm and use the least rights-restrictive effective response.

Evidence-based

Scientific validity, error rates, population effects, and limitations should be tested before high-impact use.

Appealable

A person affected by a consequential automated action should be able to obtain records, challenge error, and reach a qualified human reviewer.

Independently reviewable

High-impact systems need external audit access, protected researchers, and reporting that allows error patterns to be evaluated.

Directed at demonstrable harm

Governance should focus on threats, fraud, coercion, discrimination, harassment, exploitation, and violence—not private curiosity or lawful dissent.

SEVEN RESEARCH ROUTES

Research, policy, advocacy, and public communication remain distinct

Each route identifies the genre of its organizing report so normative language is not mistaken for an empirical finding and case evidence is not generalized beyond its limits.

01

Policy and legal analysis

Mental sovereignty and cognitive liberty

A foundational rights framework distinguishing the protected inner life from accountable outward conduct and examining how AI, neurotechnology, predictive scoring, and synthetic interaction pressure that boundary.

Source report
The Mind Is the First Territory of Freedom
Evidence posture
This route presents a rights and policy framework. It does not claim that cognitive liberty is already a uniformly defined, independently enforceable right in every jurisdiction.
Explore this research route
02

Policy and legal analysis

Cognitive liberty in AI-enabled conflict

A national-security and human-rights analysis of cognitive warfare, democratic defense, foreign influence, AI-enabled information operations, and the risk that countermeasures become systems of domestic cognitive control.

Source report
The Mind Is Not a Battlespace: Cognitive Liberty in the Age of AI-Enabled Conflict
Evidence posture
The route analyzes doctrine and governance. It does not endorse cognitive warfare as a precise scientific domain, assume autonomous influence swarms are routine, or provide campaign procedures.
Explore this research route
03

Evidence-oriented research

Mental privacy and algorithmic monitoring

A sector-by-sector analysis of direct neural measurement, emotion inference, behavioral profiling, productivity surveillance, educational monitoring, and the institutional decisions made from those signals.

Source report
When the System Watches the Mind
Evidence posture
The route distinguishes observation types and beneficial safety or accessibility uses from coercive or scientifically weak deployment. It does not claim every biometric signal is meaningless or every form of monitoring is illegitimate.
Explore this research route
04

Evidence-oriented research

Algorithmic suppression and the right to know

A civil-liberties taxonomy of removal, restriction, demotion, recommendation exclusion, search suppression, labeling, reframing, personalized invisibility, risk scoring, and changes to persistent user memory or identity.

Source report
The Invisible Editor: AI Censorship, Algorithmic Suppression, and the Right to Know
Evidence posture
The route does not claim all ranking is censorship or that platforms must distribute every lawful item. It focuses on visibility, reasons, records, consistency, disparate error, and remedy.
Explore this research route
05

Evidence-oriented research

Automated moderation, bias, and regulation

A research synthesis on visibility moderation, dialect and identity-term bias, conflict-zone enforcement, generative-model overcorrection, automated public-benefit decisions, and transparency regulation.

Source report
Algorithmic Suppression and AI-Driven Censorship
Evidence posture
The route retains well-supported patterns and explicitly excludes unsupported claims about secret intent, universal political direction, or platform-wide prevalence when public evidence is insufficient.
Explore this research route
06

Normative manifesto

A twelve-point cognitive-liberty manifesto

A deliberately normative declaration arguing for a pro-technology third path: capable AI that remains visible, contestable, limited, reversible, and answerable to human dignity.

Source report
Keep the Human Mind Free
Evidence posture
This is advocacy and ethical orientation. Its declarations are proposed principles, not descriptions of enacted universal law or proof that every named risk is widespread.
Explore this research route
07

Public-address toolkit

Public-address and civic communication toolkit

A 15-minute address, condensed speech, event description, quotable lines, and factual annotation framework connecting cognitive liberty to workplace surveillance, local labor history, mental privacy, and accountable AI policy.

Source report
Cognitive Liberty Is the Civil-Rights Struggle of the AI Age
Evidence posture
This route is a communication resource. Rhetorical claims, metaphors, legislative references, and local-history framing should be verified for the event date and audience before delivery.
Explore this research route

NORMATIVE FRAMEWORK

Twelve principles for keeping human agency visible

These principles synthesize the submitted policy and manifesto materials. They are proposed commitments, not a claim that every principle is already enacted law.

  1. 01

    The inner life is sovereign

    Thoughts, emotions, memories, and imagination belong first to the person, not to an employer, platform, school, state, or model.

  2. 02

    Thought is not conduct

    Outward acts may be regulated; private inquiry, unmanifested intent, doubt, and changing belief require a protected interior space.

  3. 03

    Mental privacy is a human-rights issue

    Neural data and sensitive cognitive or emotional inferences warrant protections beyond ordinary consumer profiling.

  4. 04

    A prediction is not a verdict

    Probabilistic forecasts should not replace evidence, individualized assessment, or due process.

  5. 05

    An emotion inference is not proof of emotion

    Facial movement, voice, gaze, and physiology are context-sensitive signals and should not be treated as transparent windows into the mind.

  6. 06

    A historical record is not a permanent identity

    Systems should preserve correction, temporal context, and the human capacity to change rather than freeze a person inside old data.

  7. 07

    AI must identify itself and its role

    People should know when they are interacting with a synthetic system and when it materially shapes a decision or information environment.

  8. 08

    No system should engineer emotional dependency

    Engagement optimization should not exploit loneliness, grief, crisis, or attachment to make exit feel like abandonment.

  9. 09

    Refusal should be transparent

    A system may enforce a boundary, but it should distinguish policy, uncertainty, missing evidence, and technical limitation rather than feign neutral omniscience.

  10. 10

    Consequential automation requires explanation and appeal

    Employment, education, benefits, healthcare, credit, and liberty decisions need durable reasons and meaningful human review.

  11. 11

    Safety must be specific, proportionate, and evidence-based

    Legitimate protection should not become a general license for hidden profiling, broad surveillance, or viewpoint control.

  12. 12

    Human responsibility cannot be delegated to a machine

    Developers, deployers, institutions, and public officials remain responsible for objectives, data, safeguards, and consequences.

HOW TO READ THE COLLECTION

Evidence first. Rights claims labeled. Uncertainty retained.

  1. The seven submitted reports are organizing sources, not automatic proof of every embedded claim.
  2. Normative declarations, legal proposals, empirical findings, historical examples, and rhetorical material are labeled separately.
  3. Current legal milestones are linked to official or primary records where practical; jurisdiction and effective dates remain visible.
  4. Emotion, intent, credibility, and risk inferences are treated as probabilistic claims rather than direct access to a person’s mind.
  5. Visibility loss, engagement change, or a platform label does not by itself establish unlawful censorship, viewpoint intent, or behavioral effect.
  6. Where public evidence is incomplete, the synthesis states the uncertainty instead of filling the gap with speculation.

RETAINED SOURCE REGISTER

Submitted reports and external records are not the same kind of evidence

Every source carries a qualification describing what it can and cannot establish. Original publication titles remain in their source language.

  1. Submitted research source

    The Mind Is Not a Battlespace: Cognitive Liberty in the Age of AI-Enabled Conflict

    Submitted policy report; organizing source for the public synthesis, not independent corroboration.

  2. Submitted research source

    The Mind Is the First Territory of Freedom

    Submitted foundational report; combines legal analysis, policy proposals, and normative principles.

  3. Submitted research source

    Keep the Human Mind Free

    Submitted manifesto; normative claims are labeled as principles rather than empirical findings.

  4. Submitted research source

    The Invisible Editor: AI Censorship, Algorithmic Suppression, and the Right to Know

    Submitted analytical report; its platform examples require attention to changing policies and incomplete public data.

  5. Submitted research source

    Cognitive Liberty Is the Civil-Rights Struggle of the AI Age

    Submitted speech and rhetorical toolkit; public-facing language is not itself an evidentiary source.

  6. Submitted research source

    Algorithmic Suppression and AI-Driven Censorship

    Submitted research report; some included examples and secondary sources are contested or lower quality, so the public synthesis retains only bounded claims.

  7. Submitted research source

    When the System Watches the Mind

    Submitted research report; observation types and institutional uses are separated to avoid treating all monitoring as equivalent.

  8. Official record

    A/76/380: Interim report of the Special Rapporteur on freedom of religion or belief — Freedom of thought — opens in a new tab

    Authoritative for the Special Rapporteur’s analysis; not a treaty amendment or court judgment.

  9. Law or regulation

    HB24-1058 — Protect Privacy of Biological Data — opens in a new tab

    Official Colorado bill page and enacted-status record.

  10. Law or regulation

    SB 1223 — Consumer privacy: sensitive personal information: neural data — opens in a new tab

    Official California bill text for the chaptered measure; consult the codified statute and counsel for compliance.

  11. Law or regulation

    Regulation (EU) 2024/1689 — Artificial Intelligence Act — opens in a new tab

    Official EU legal text; application depends on definitions, timelines, and exceptions.

  12. Official record

    UNESCO Recommendation on the Ethics of Neurotechnology — opens in a new tab

    Global normative recommendation adopted by UNESCO Member States; not a binding treaty.

  13. Peer-reviewed research

    Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements — opens in a new tab

    Major scientific review of facial movement and emotion inference; does not imply every context-aware affective measure is useless.

  14. Academic research or scholarship

    Beyond Neural Data: Cognitive Biometrics and Mental Privacy — opens in a new tab

    Legal scholarship extending mental-privacy analysis beyond direct brain data.

  15. Academic research or scholarship

    Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews — opens in a new tab

    Controlled study of suggestive interviewing; it does not establish ordinary AI use routinely rewrites autobiographical memory.

  16. Official record

    NIST Artificial Intelligence Risk Management Framework 1.0 — opens in a new tab

    Voluntary risk-management framework emphasizing governance, mapping, measurement, management, documentation, and redress.

  17. Civil-society source

    Santa Clara Principles on Transparency and Accountability in Content Moderation — opens in a new tab

    Civil-society principles for numbers, notice, appeals, cultural competence, and state-involvement transparency.

  18. Law or regulation

    Digital Services Act — opens in a new tab

    Official EU overview; specific duties depend on service category and statutory text.

  19. Independent review

    Human Rights Due Diligence of Meta’s Impacts in Israel and Palestine in May 2021 — opens in a new tab

    Meta-commissioned independent review documenting over- and under-enforcement, language asymmetries, and remedy issues.

  20. Human-rights report

    Meta’s Broken Promises: Systemic Censorship of Palestine Content on Instagram and Facebook — opens in a new tab

    Human Rights Watch investigation based on submitted cases; establishes documented patterns, not a complete platform-wide error rate.

  21. Official record

    Artificial Intelligence and the ADA — opens in a new tab

    Official U.S. employment civil-rights guidance; not a finding that every AI hiring tool discriminates.

  22. Human-rights report

    Automated Neglect: How the World Bank’s Push to Allocate Cash Assistance Using Algorithms Threatens Rights — opens in a new tab

    Rights investigation into Jordan’s poverty-targeting system; claims should remain attributed to the report and responses.

  23. Official record

    Swedish Psychological Defence Agency — Our mission — opens in a new tab

    Official description of the agency’s mission and domestic-speech boundary.

  24. Civil-society source

    Cofacts: collaborative fact-checking platform — opens in a new tab

    Public civic-technology platform; effectiveness varies with participation, coverage, and response quality.

  25. Secondary reporting

    Why a Study of 5 Working Women in the 1920s Changed Your Work Life — opens in a new tab

    Accessible historical account; scholarly debates caution against reducing the Hawthorne studies to a single observation effect.

  26. Secondary reporting

    Amazon under fire for software that recommends firing workers — opens in a new tab

    Reporting on disclosed workplace automation; specific practices and policies can change.

  27. Law or regulation

    Illinois Public Act 103-0804 — Artificial intelligence in employment decisions — opens in a new tab

    Official Illinois public-act text; the employment provisions took effect January 1, 2026 and remain subject to rules and enforcement interpretation.

  28. Law or regulation

    Illinois Public Act 104-0538 — Artificial Intelligence Safety Measures Act — opens in a new tab

    Official Illinois public-act record. Approved July 6, 2026; effective January 1, 2027.

  29. Technical documentation

    ChatGPT Memory FAQ — opens in a new tab

    Product documentation for memory controls; behavior and availability can change by account, plan, and release.