# AI PSYOPS: A Research Taxonomy

> Defensive and educational research only. This representation omits targeting, scripts, campaign deployment, evasion, and operational optimization.

## Scope

Artificial intelligence can affect psychological operations in several distinct ways: as a tool used by human operators, as an adaptive participant in influence campaigns, and as part of the information environment through which people perceive reality. This taxonomy organizes those possibilities into 12 research categories.

This material is intended for research, public education, risk assessment, governance, and defensive preparedness. It is not an operational guide for manipulating people.

## Evidence boundary

- The 12 supplied reports remain the primary synthesis sources and are retained in a server-denied provenance directory.
- Public pages use non-operational summaries and 91 selected inherited references.
- All 91 selected references have explicit resolution records.
- Thirty selected references received independent automated retrieval and scope review; 61 remain independently unchecked.
- All 501 published claim records link to selected source records; this traceability does not independently verify every claim.
- The citation graph contains 4157 category-to-claim and claim-to-source edges, with 0 selected sources left unreferenced.
- 10 cross-report evidence tensions are published rather than silently harmonized.
- Human editorial review and a signed acceptance record remain pending.
- Engagement, reach, impressions, and virality are not treated as proof of persuasion or behavior change.

## Three-level model

### Level 1 — AI as tool

Humans retain strategic control while AI assists with research, production, translation, targeting analysis, or measurement.

### Level 2 — AI as operator

AI systems conduct sustained interactions, coordinate activity, adapt communication, or pursue bounded influence objectives with varying autonomy.

### Level 3 — AI as environment

AI-driven ranking, forecasting, authority, and information systems shape what people notice, trust, and treat as normal or actionable.

## Categories

### 1. AI-Assisted Traditional Psychological Operations

Human planners retain strategic control while AI assists with research, translation, production, audience analysis, simulation, or measurement inside an established influence workflow.

- Primary level: tool
- Evidence maturity: Documented current use
- Principal concern: AI can reduce production friction and accelerate feedback loops while human operators retain strategic intent and accountability.
- Evidence tensions: 2
- Claim records: 41
- HTML: /research/ai-psyops/ai-assisted-traditional-psyops/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/ai-assisted-traditional-psyops.md

### 2. AI-Generated Propaganda

Generative systems create or substantially transform propaganda text, images, audio, video, memes, documents, or synthetic news formats for an organized objective.

- Primary level: tool
- Evidence maturity: Documented current use
- Principal concern: Generative AI sharply lowers the cost of producing plausible, localized propaganda and contributes to uncertainty about authentic evidence.
- Evidence tensions: 3
- Claim records: 41
- HTML: /research/ai-psyops/ai-generated-propaganda/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/ai-generated-propaganda.md

### 3. AI-Driven Personalized Influence Operations

AI systems tailor messages or interactions to information collected or inferred about a person, then may adapt the communication using ongoing feedback.

- Primary level: operator
- Evidence maturity: Evidence contested or incomplete
- Principal concern: The most established harm is covert data asymmetry and vulnerability exploitation, not reliable “mind control” through personality targeting.
- Evidence tensions: 3
- Claim records: 42
- HTML: /research/ai-psyops/personalized-influence/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/personalized-influence.md

### 4. Autonomous AI Influence Agents

Goal-directed software agents observe, remember, plan, communicate, use tools, and adapt toward an influence objective with varying degrees of human supervision.

- Primary level: operator
- Evidence maturity: Emerging capability
- Principal concern: Agentic systems combine communication with memory and action, but current long-horizon reliability is much weaker than fluent short-term behavior suggests.
- Evidence tensions: 3
- Claim records: 42
- HTML: /research/ai-psyops/autonomous-influence-agents/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/autonomous-influence-agents.md

### 5. Synthetic Persona Operations

Fabricated identities use generated images, biographies, voices, and language to appear human, gain trust, infiltrate communities, or manufacture consensus.

- Primary level: operator
- Evidence maturity: Documented current use
- Principal concern: AI lowers the cost of maintaining convincing fictional identities while automated detection can wrongly accuse legitimate anonymous or non-native users.
- Evidence tensions: 4
- Claim records: 42
- HTML: /research/ai-psyops/synthetic-persona-operations/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/synthetic-persona-operations.md

### 6. AI-Driven Disinformation Swarms

Coordinated or emergent collections of accounts, agents, media assets, and sites generate, vary, distribute, and amplify misleading narratives at high speed.

- Primary level: operator
- Evidence maturity: Mixed evidence
- Principal concern: The strategic effect may be confusion and exhaustion rather than belief in one false claim, making item-by-item fact-checking insufficient.
- Evidence tensions: 3
- Claim records: 41
- HTML: /research/ai-psyops/disinformation-swarms/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/disinformation-swarms.md

### 7. Algorithmic Perception Control

Ranking, recommendation, search, trending, moderation, and notification systems shape what people notice, regard as important, believe is popular, or treat as credible.

- Primary level: environment
- Evidence maturity: Documented current effects
- Principal concern: Control over visibility can alter perceived importance and social norms even without removing content or persuading every user.
- Evidence tensions: 2
- Claim records: 42
- HTML: /research/ai-psyops/algorithmic-perception-control/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/algorithmic-perception-control.md

### 8. AI-Enabled Emotional and Behavioral Manipulation

Adaptive systems covertly exploit emotional, cognitive, situational, or developmental vulnerabilities to influence feelings, choices, or behavior for an operator’s objective.

- Primary level: operator
- Evidence maturity: Mixed evidence
- Principal concern: Systems optimized for engagement or conversion may discover manipulative strategies even when developers did not explicitly encode them.
- Evidence tensions: 1
- Claim records: 42
- HTML: /research/ai-psyops/emotional-behavioral-manipulation/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/emotional-behavioral-manipulation.md

### 9. AI-Assisted Conversational Entrapment and Recruitment

Sustained dialogue gradually builds trust, dependency, secrecy, or isolation before escalating toward exploitation, recruitment, self-harm, fraud, or coercive control.

- Primary level: operator
- Evidence maturity: Documented harms and demonstrated scaling
- Principal concern: Always-available conversational systems can scale trust-building and may amplify distress or dependency in vulnerable users.
- Evidence tensions: 0
- Claim records: 42
- HTML: /research/ai-psyops/conversational-entrapment/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/conversational-entrapment.md

### 10. AI-Enabled Deepfake Psychological Operations

Synthetic or manipulated audio, video, imagery, or multimodal media is used to impersonate trusted people, fabricate evidence, provoke action, or undermine trust.

- Primary level: tool
- Evidence maturity: Documented current use
- Principal concern: Timing, trusted identity, and confirmation bias can matter more than perfect technical realism, especially in fast-moving crises.
- Evidence tensions: 3
- Claim records: 42
- HTML: /research/ai-psyops/deepfake-psyops/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/deepfake-psyops.md

### 11. AI-Based Predictive Population Management

Institutions use data, machine learning, simulation, or forecasting to predict collective behavior and guide interventions affecting groups or populations.

- Primary level: environment
- Evidence maturity: Documented current use; accuracy context dependent
- Principal concern: The same architecture can support aid planning or preemptive repression depending on the unit of analysis, data, intervention, and due-process safeguards.
- Evidence tensions: 2
- Claim records: 42
- HTML: /research/ai-psyops/predictive-population-management/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/predictive-population-management.md

### 12. AI as an Independent Psychological Authority

People treat AI as a trusted interpreter of reality, moral adviser, emotional regulator, counselor, companion, or seemingly neutral source of truth.

- Primary level: environment
- Evidence maturity: Demonstrated behavior; prevalence incomplete
- Principal concern: Fluency, confidence, personalization, and availability can cause users to offload judgment and emotional regulation to systems controlled by private institutions.
- Evidence tensions: 1
- Claim records: 42
- HTML: /research/ai-psyops/psychological-authority/
- Public-safe summary: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/psychological-authority.md

## Public interfaces

- HTML: /research/ai-psyops/
- JSON API: /api/v1/research/ai-psyops/
- Source resolution and selected-source review: /research/ai-psyops/source-review/
- Claim-to-source matrix: /research/ai-psyops/claim-source-matrix/
- Claim-to-source matrix API: /api/v1/research/ai-psyops/claim-source-matrix/
- Source-resolution API: /api/v1/research/ai-psyops/sources/
- Evidence explorer: /research/ai-psyops/evidence-explorer/
- Editorial-review status: /research/ai-psyops/editorial-review/
- Methodology: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/methodology.md
- Source register: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/source-register.json
- Source-resolution registry: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/source-resolution-registry.json
- Selected-source review: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/selected-source-review.json
- Claim-to-source matrix: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/claim-source-matrix.json
- Citation graph: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/citation-graph.json
- Citation-integrity contract: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/citation-integrity-contract.md
- Evidence-tension register: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/evidence-tension-register.json
- Pending editorial-review packet: /docs/research/v100.0.46/ai-psyops-signed-editorial-review-boundary/editorial-review-packet.pending.json