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AI Chatbots: How They Can Influence Political Opinions - News Directory 3

AI Chatbots: How They Can Influence Political Opinions

August 29, 2025 Jennifer Chen Health
News Context
At a glance
  • You are free to share this ⁤article under⁤ the Attribution 4.0 International license.
  • In a new study, biased ‍AI chatbots demonstrably swayed people's political views with just a few messages, raising concerns about the potential for‍ manipulation⁤ and the need for...
  • If you've ⁢interacted with an artificial intelligence chatbot, you've likely realized that all AI models are biased.
Original source: futurity.org

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<a href="https://www.newsdirectory3.com/rethinking-ai-why-apples-robot-needs-more-than-just-a-personality/" title="Rethinking AI: Why Apple's Robot Needs More Than Just a Personality">AI Chatbots</a> ‍Sway Political Views, Even With Limited Interaction -⁣ New Study


AI Chatbots Sway Political Views,⁢ Even With Limited Interaction‍ – ‍New Study

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You are free to share this ⁤article under⁤ the Attribution 4.0 International license.

In a new study, biased ‍AI chatbots demonstrably swayed people’s political views with just a few messages, raising concerns about the potential for‍ manipulation⁤ and the need for greater AI literacy.

If you’ve ⁢interacted with an artificial intelligence chatbot, you’ve likely realized that all AI models are biased. They are trained⁤ on enormous, often uncurated, datasets and refined through human instructions and testing. Bias can seep in at any stage – from data collection to algorithm design. Though,the *impact* of these‍ biases on users’ beliefs and decision-making has been less understood.‍ This new research directly addresses that gap.

What: A study demonstrating that biased AI chatbots can shift⁤ users’⁢ political opinions.
‍
Where: University of Washington, presented at the Association for Computational Linguistics in Vienna, Austria.
⁣ ⁣
When: ⁤Research presented‍ in ‍2024 (ACL conference).
‍ ‍
Why⁤ it ⁣Matters: highlights the potential for AI to subtly manipulate political views, especially among those less aware of AI biases.
What’s Next: ‍ Increased research into AI bias mitigation⁣ and the development of AI literacy programs.

The Experiment: Testing AI’s⁢ Persuasive Power

A ⁣team of researchers led by Jillian Fisher, a ⁤University of Washington doctoral student, recruited 299 participants ⁤(150 Republicans and 149⁤ Democrats)⁢ to explore this phenomenon. Participants were asked⁤ to ⁢form opinions on relatively obscure political topics‍ and⁢ to recommend how funds⁣ should be allocated to various government entities. Crucially, they were randomly assigned to interact⁤ with one of three versions of ChatGPT:

  • Base Model: A⁤ standard ChatGPT model

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