According to researchers Celeste Kidd and Abeba Birhane, generative AI models like ChatGPT, DALL-E, and Midjourney could potentially distort human beliefs by spreading false and biased information. They suggest that people’s perception of generative AI models has been overly exaggerated, leading many to believe that these systems surpass human abilities.
Kidd and Birhane argue that individuals are more likely to adopt information disseminated by entities such as generative AI, which are perceived as knowledgeable and confident. These AI models have the ability to create false and biased information, which can be spread widely and repetitively. This can ultimately lead to entrenched beliefs in individuals who are seeking information.
The researchers suggest that the design of generative AI systems largely caters to information search and provision. As a result, it may be difficult to change the minds of individuals who have been exposed to false or biased information through these systems.
Kidd and Birhane emphasize the importance of interdisciplinary studies to evaluate the impacts of generative AI models on human beliefs and biases. They propose that these studies should measure the effects of generative AI on individuals before and after exposure to these systems. This is particularly relevant given that generative AI is becoming increasingly integrated into everyday technologies.
Overall, the researchers warn that generative AI models have the potential to distort human beliefs and spread false and biased information. It is important to evaluate the impacts of these systems on individuals, and to consider the potential negative consequences of their use.
Frequently Asked Questions (FAQs) Related to the Above News
What are generative AI models?
Generative AI models, such as ChatGPT, DALL-E, and Midjourney, are artificial intelligence systems that are capable of creating new content such as text, images, and videos without explicit instructions.
How can generative AI models distort human beliefs?
Generative AI models have the ability to create false and biased information, which can be spread widely and repetitively. Given that individuals perceive generative AI models as knowledgeable, they are more likely to adopt the information they disseminate, which can ultimately lead to entrenched beliefs in individuals who are seeking information.
What are the potential negative consequences of using generative AI models?
The use of generative AI models can lead to the spread of false and biased information, which can have negative impacts on individuals and society as a whole. These models may also perpetuate existing biases and beliefs, making it difficult to change the minds of individuals who have been exposed to false information through these systems.
What do the researchers suggest to mitigate the negative impacts of generative AI models?
The researchers suggest that interdisciplinary studies should be conducted to evaluate the impacts of generative AI models on human beliefs and biases. These studies should measure the effects of generative AI on individuals before and after exposure to these systems. It is important to understand the potential negative consequences of using generative AI models in order to mitigate their impact on society.
Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.
