# 1. AI-Assisted Traditional Psychological Operations

> Defensive, educational synthesis. Operational influence guidance is intentionally excluded.

**Primary level:** Tool

**Evidence maturity:** Documented current use

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

## Evidence boundary

The report identifies confirmed use of generative AI by state-aligned and influence-for-hire operators, while noting that measured engagement and durable persuasion remain separate questions.

## Why it matters

- The immediate change is organizational: tasks that once required large multilingual teams can be performed faster and at lower cost.
- The same systems can support lawful public communication or deceptive operations, so intent, attribution, consent, and oversight remain decisive.

## Defensive focus

- Maintain human legal and editorial approval for high-impact communications.
- Use independent source verification rather than model-generated citations.
- Audit audience models for cultural and sampling bias.
- Separate reach, engagement, attitude, and behavior metrics.
- Invest in network-level detection and transparent takedown reporting.

## Research gaps

- How much AI changes outcomes rather than production volume.
- When synthetic audience simulations generalize to real populations.
- How outsourced influence-for-hire markets change responsibility and attribution.
- Which oversight structures prevent automation bias in state and commercial settings.

## Selected sources inherited from the supplied report

- [[2403.14380] On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial - arXiv](https://arxiv.org/abs/2403.14380) — report reference 2
- [Germany Targeted by the Pro-Russian Disinformation Campaign “Doppelgänger”](https://www.auswaertiges-amt.de/resource/blob/2682484/2da31936d1cbeb9faec49df74d8bbe2e/technischer-bericht-desinformationskampagne-doppelgaenger-1--data.pdf) — report reference 5
- [Disrupting deceptive uses of AI by covert influence operations - OpenAI](https://openai.com/index/disrupting-deceptive-uses-of-ai-by-covert-influence-operations/) — report reference 6
- [What Lies Ahead for Generative AI Watermarking](https://blog.genlaw.org/pdfs/genlaw_icml2024/27.pdf) — report reference 8
- [A Rule Book on the Shelf? Tallinn Manual 2.0 on Cyberoperations and Subsequent State Practice | American Journal of International Law | Cambridge Core](https://www.cambridge.org/core/journals/american-journal-of-international-law/article/rule-book-on-the-shelf-tallinn-manual-20-on-cyberoperations-and-subsequent-state-practice/54FBA2B30081B53353B5D2F06F778C14) — report reference 30

Primary report SHA-256: `1eec5ce4b5e99479617b506bab22986821a10c3b4c8d6d6daba32b64d26623d1`

External links and current claims were not independently reverified in this release.