Concern 460 · Working draft · editorial review in progress

State-sponsored influence operations

AI-assisted state influence operations use generated content to covertly promote a government's political interests.

Understanding the concern

An influence operation may pose as ordinary citizens or independent media rather than openly identify its sponsor. AI can help produce drafts, translations and account biographies. The concern is hidden coordination and deception about who is speaking, not simply a foreign person expressing a political opinion.

Provider investigations have observed such uses, but producing more content does not guarantee an audience or persuasive success. It is useful to separate the ability to generate posts from evidence that people saw them, believed them or changed behavior. Otherwise, reporting on a campaign can accidentally exaggerate its power.

An example

A network of accounts presents centrally produced messages as spontaneous local opinion.

Illustrative unless identified as a documented case.

Words in plain English

AI
Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.

Evidence and its limits

OpenAI's report is a first-party account of activity on its services. It does not measure the effect of AI on election results.

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Broader frameworks and background

These resources provide context. They do not establish every claim in this concern.

People and organizations cited

Public writing, not endorsement, partnership, or affiliation.

International Committee of the Red Cross

A question to discuss

What evidence would show an influence campaign's actual reach rather than just its volume of posts?

Keep track of different views, what needs checking, and any next step in your own discussion notes.

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Principles for the conversation

Before you finish · reflect together

Virtues and principles to consider

Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.

Truthfulness

Truthfulness means making claims that match the evidence and being clear about what we do not know. It includes correcting mistakes rather than protecting a polished story.

Check sources, label guesses, and distinguish a trial result from a proven benefit. If AI helped produce a claim, someone still needs to take responsibility for checking it.

Ask together: What can we honestly say, and what still needs checking?

Meaningful conversation

Conversation means making room to understand and be understood. It is more than winning a debate or collecting quick agreement. People can explore a question together without starting from the same view.

Use a concrete example, invite different experiences, and ask what might change each person's mind. Let concerns and hopes sit together long enough to reveal choices that a simple yes-or-no argument would miss.

Ask together: What can we learn from each other before deciding?

Unity

Unity means working toward shared purposes while making room for real differences. It does not require everyone to have the same experience, beliefs, or opinion.

Look for a goal people can share, then explore disagreements about how to reach it. Make sure quieter or less powerful voices can influence the result.

Ask together: What purpose can we share while respecting our differences?

Editorial ratings

These are editorial judgments from the register, not measured probabilities or predictions about your situation.

Severity
Major · 4/5
Likelihood
Widely observed · 4/5
Time horizon
Now
Register risk score
16
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More ways to explore

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