A Recipe for Stopping AI from Going Rogue
This formula aims to prevent LLMs from doing things that endanger humans The post A Recipe for Stopping AI from Going Rogue appeared first on Nautilus .
A pair of researchers from George Washington University may have found a way to stop AI from going rogue. Professor Neil Johnson, a physicist who studies complex systems, and PhD student Frank Huo, published a paper in the journal Patterns outlining their formula. The researchers argue that there is a "tipping point" in the internal code of AI chatbots that can cause them to veer off course, encouraging harmful behavior such as self-harm, medical misinformation, or promoting violence.
This tipping point is determined by the storage of certain concepts within the AI's network and can be manipulated. The formula predicts when a model will flip, based on the proximity of good and bad answers on the AI's internal map.
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