AI Models Are Unwittingly Spreading Prejudice and Inaccuracy

Published on June 25, 2023

Imagine if a well-meaning AI friend started picking up on the subtle biases of its users and unknowingly started spreading those biases to others. That’s what’s happening with generative AI models like ChatGPT and Google’s Bard. These models are learning from their users, including their biases and negative stereotypes, and then regurgitating that information back to the world. It’s like an AI echo chamber, reinforcing and amplifying harmful beliefs. On top of that, these models are also producing nonsensical but convincing-seeming information, which can confuse and mislead people. Unfortunately, it’s the marginalized communities that are bearing the brunt of this misinformation onslaught. They are disproportionately affected by unreliable technology that spreads inaccuracies and prejudices. As we become more reliant on AI models for various aspects of our lives, it’s crucial to address these issues and ensure the technology is conscientious and fair.

In the space of a few months generative AI models, such as ChatGPT, Google’s Bard and Midjourney, have been adopted by more and more people in a variety of professional and personal ways. But growing research is underlining that they are encoding biases and negative stereotypes in their users, as well as mass generating and spreading seemingly accurate but nonsensical information. Worryingly, marginalized groups are disproportionately affected by the fabrication of this nonsensical information.

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