New research into large language models shows that they repeat conspiracy theories, harmful stereotypes, and other forms of misinformation.
In a recent study, researchers at the University of Waterloo systematically tested an early version of ChatGPT’s understanding of statements in six categories: facts, conspiracies, controversies, misconceptions, stereotypes, and fiction. This was part of Waterloo researchers’ efforts to investigate human-technology interactions and explore how to mitigate risks.
They discovered that GPT-3 frequently made mistakes, contradicted itself within the course…
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News Source: www.sciencedaily.com