The Distorting Effects of Generative AI Models on Human Beliefs

by Henrik Andersen
3 comments
AI-driven Belief Distortion

Introduction:
Generative AI models, such as ChatGPT, DALL-E, and Midjourney, have raised concerns about their potential to distort human beliefs. Researchers Celeste Kidd and Abeba Birhane argue that these models can transmit false information and perpetuate stereotypical biases, making it difficult to alter people’s perceptions once exposed to such content.

Generative AI’s Impact on Human Perception:
According to Kidd and Birhane, generative AI models like ChatGPT, DALL-E, and Midjourney have the ability to distort human beliefs by disseminating false information and biased content. They delve into the connection between human psychology and the power of generative AI in shaping these beliefs.

Overestimation of AI Capabilities:
The researchers assert that there is an exaggerated perception of generative AI models, leading many to believe that these systems surpass human abilities. People tend to adopt information from knowledgeable and confident sources like generative AI more readily and with greater certainty.

The Role of AI in Spreading False and Biased Information:
Generative AI models can generate and propagate false and biased information, which can quickly spread and become deeply ingrained in people’s beliefs. Individuals are most susceptible to influence when seeking information, and once they receive it, they are likely to hold onto it firmly.

Implications for Information Search and Provision:
The current design of generative AI primarily focuses on information search and provision, presenting a significant challenge in changing the minds of individuals exposed to false or biased information. Kidd and Birhane suggest that altering beliefs after exposure to such AI-generated content becomes problematic.

The Need for Interdisciplinary Studies:
The researchers emphasize the importance of conducting interdisciplinary studies to assess the impact of generative AI models on human beliefs and biases. They propose evaluating the effects both before and after exposure to these models, especially considering their increasing integration into everyday technologies.

Reference:
“How AI can distort human beliefs: Models can convey biases and false information to users” by Celeste Kidd and Abeba Birhane, Science, 22 June 2023, DOI: 10.1126/science.adi0248

Frequently Asked Questions (FAQs) about AI-driven Belief Distortion

What are generative AI models mentioned in the text?

The generative AI models mentioned in the text are ChatGPT, DALL-E, and Midjourney.

How do generative AI models distort human beliefs?

Generative AI models can distort human beliefs by transmitting false information and perpetuating biased content, which may influence individuals’ perceptions and make it challenging to change their beliefs once exposed to such information.

What is the impact of AI on human perception?

AI can have a significant impact on human perception as generative AI models, like ChatGPT, DALL-E, and Midjourney, have the ability to shape beliefs through the dissemination of false information and biases, potentially leading to distorted perceptions.

Why do people tend to adopt information from generative AI models?

People often adopt information from generative AI models more readily because they perceive these models as knowledgeable and confident sources. This tendency can contribute to an overestimation of the capabilities of generative AI models and their influence on human beliefs.

How does generative AI spread false and biased information?

Generative AI models have the potential to fabricate false and biased information, which can be disseminated widely and repetitively. This widespread dissemination and repetition contribute to the entrenchment of such information in people’s beliefs.

What challenges exist in altering beliefs exposed to false or biased information from AI systems?

The current design of generative AI models primarily focuses on information search and provision. As a result, changing the minds of individuals who have been exposed to false or biased information from these AI systems can pose a significant challenge.

Why are interdisciplinary studies needed?

Interdisciplinary studies are crucial to evaluating the impact of generative AI models on human beliefs and biases. By measuring the effects before and after exposure to such models, researchers can gain valuable insights, especially considering the increasing integration of these systems into everyday technologies.

More about AI-driven Belief Distortion

  • “How AI can distort human beliefs: Models can convey biases and false information to users” by Celeste Kidd and Abeba Birhane, Science, 22 June 2023, DOI: 10.1126/science.adi0248

You may also like

3 comments

TechGeek24 June 23, 2023 - 4:19 pm

whoa, generative AI is no joke! ChatGPT, DALL-E, Midjourney, they twist human beliefs. they can spread fake & biased info, and once we get it, it sticks. it’s a challenge to change minds after that. we need interdisciplinary studies to tackle this prob! #AIproblems

Reply
Bookworm101 June 24, 2023 - 1:28 am

i didn’t know generative AI could mess with our beliefs! chatGPT, DALL-E, Midjourney, they’re all part of the prob. spreading false stuff and stereotypes, making it hard to change minds later. we need more research ASAP to fix this mess!

Reply
AIEnthusiast45 June 24, 2023 - 11:27 am

wowww, this text is mindblowing! generative AI models like ChatGPT, DALLE, Midjourney can distort human beliefs? omg, that’s cray! they spread false info and biases. it’s hard to change people’s perception once they got fake news. #scarystuff

Reply

Leave a Comment

* By using this form you agree with the storage and handling of your data by this website.

SciTechPost is a web resource dedicated to providing up-to-date information on the fast-paced world of science and technology. Our mission is to make science and technology accessible to everyone through our platform, by bringing together experts, innovators, and academics to share their knowledge and experience.

Subscribe

Subscribe my Newsletter for new blog posts, tips & new photos. Let's stay updated!

© 2023 SciTechPost

en_USEnglish