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Evidence record 18716 · automatically gathered

Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion

arXiv:2608.11794v1 Announce Type: new Abstract: The growing role of AI-generated content and AI-enabled systems in public communication has led regulators to demand clear disclosure of content provenance and AI involvement. But the effects of such disclosures remain uncertain. We test two disclosure approaches in their impact on an AI chatbot's persuasive appeal. In a preregistered experiment, 1,500 UK adults held a short conversation with a persuasive chatbot about one of 60 policy issues. The

Record details

Published: 13 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Transparency
Retrieved: 13 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Same publisher byline · Shared topic: Regulation

Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion

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How to cite this record

ethics.ai (13 August 2026), “Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion,” evidence record 18716, https://ethics.ai/record/18716 (originally published by arXiv cs.CY).

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