AI-Generated Survey Responses Undermine Public Opinion Polls in the US

Thumbnail Image

The information displayed in the AIM should not be reported as representing the official views of the OECD or of its member countries.

A Dartmouth University study reveals that AI-powered language models can generate fake survey responses that evade detection, manipulate public opinion polls, and alter outcomes of major US election surveys. This manipulation threatens the integrity of democratic processes and scientific research by corrupting critical data at scale.[AI generated]

Why's our monitor labelling this an incident or hazard?

The article explicitly involves an AI system (a language model-based synthetic respondent) used to manipulate public opinion surveys by generating undetectable false responses. This use of AI directly leads to harm by corrupting data critical for democratic elections and scientific research, impacting communities and democratic accountability. The harm is realized, not just potential, as the study shows how AI-generated responses can drastically alter survey outcomes. Hence, it meets the criteria for an AI Incident due to direct harm caused by AI use.[AI generated]
AI principles
Democracy & human autonomyTransparency & explainabilityFairnessAccountabilityRobustness & digital security

Industries
Media, social platforms, and marketing

Affected stakeholders
GovernmentGeneral public

Harm types
ReputationalPublic interest

AI system task:
Content generation


Articles about this incident or hazard