Concern 470 · Working draft · editorial review in progress
Personalized persuasion at scale
Personalized persuasion at scale means automatically adapting persuasive messages for many different people.
Understanding the concern
A human speaker normally has limited time to learn about each listener and respond. AI can generate many conversational variations quickly. The concern is unequal influence when the persuader knows a great deal about the audience while the audience does not know the system's goal or sponsor.
Research shows that AI can be persuasive in some controlled settings. That is different from proving that it can reliably change anyone's mind. Evidence also needs care about personalization: a published correction limited claims that personal details alone explained an observed advantage. Clear sponsorship and a genuine choice to disengage help people understand the interaction.
An example
A service changes its sales pitch for each user without revealing that the conversation is designed to persuade.
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
These sources support bounded claims about controlled debates. They do not demonstrate universal influence or the independent effectiveness of personalization.
Salvi, Horta Ribeiro, Gallotti and West · Nature Human Behaviour 2025 · Controlled study
On the conversational persuasiveness of GPT-4 ↗ (opens in a new tab)Structured online debates, not a real election; must be read with the September 2026 correction.
Salvi, Horta Ribeiro, Gallotti and West · September 2026 · Published correction
Author Correction: On the conversational persuasiveness of GPT-4 ↗ (opens in a new tab)The direct personalized versus non-personalized GPT-4 comparison did not reach statistical significance; cannot attribute the advantage exclusively to personalization.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
- OECD AI Incidents and Hazards Monitor (opens in a new tab)
incidents
- AI Incident Database (opens in a new tab)
incidents
- International humanitarian law (IHL)
framework
The body of law that governs the conduct of armed conflict and the protection of people who are not fighting, which applies to AI used in or for conflict.
A question to discuss
What should a person know about the purpose and sponsor of an adaptive conversation?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →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.
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