AI Hallucinations

In recent years, artificial intelligence has flourished, and applications such as chatbots have become increasingly popular. People can get information from these chatbots (such as ChatGPT) through simple instructions. However, these chatbots are still prone to the problem of "AI hallucination", that is, providing wrong answers and sometimes even dangerous information. Image source Pexels One of the reasons for the "hallucination" is inaccurate training data, insufficient generalization ability, and side effects during data collection. However, researchers at the University of Oxford have taken a different approach and detailed a newly developed method in the latest issue of Nature magazine...

As GPT-4 makes headlines for conquering standardized tests, Microsoft researchers are subjecting other AI models to a very different kind of test — one designed to trick them into fabricating information. To cure this condition, known as “AI hallucinations,” they set a text-retrieval task that would give most people a headache, then tracked and improved the model’s responses, an example of Microsoft’s work in measuring, detecting, and mitigating AI hallucinations. “Microsoft wants all of its AI systems to…

For a long time, people have often referred to the plausible but erroneous answers provided by large language models as "AI hallucinations". However, three philosophical researchers from the University of Glasgow in the United Kingdom recently suggested otherwise -- that "AI hallucinations" is not an accurate description. The paper by the three researchers was published on June 8 (local time) in the journal Ethics and Information Technology. The paper points out that the behavior of chatbots "making up" answers should not be called "hallucinations," but rather "bullshitting...