In perhaps the most notable recent example, Harry, Hermione and Ron star in a paper titled "Who's Harry Potter?" that sheds light on a new technique helping large language models to selectively forget information. It's a high-stakes task for the industry: Large language models, which power AI chatbots, are built on vast amounts of online data, including copyrighted material and other problematic content. That has led to lawsuits and public scrutiny for some AI companies. The paper's authors, Microsoft researchers Mark Russinovich and Ronen Eldan, said they've demonstrated that AI models can be altered or edited to remove any knowledge of the existence of the Harry Potter books, including characters and plots, without sacrificing the AI system's overall decision-making and analytical abilities.
The duo said they chose the books because of their universal familiarity. "We believed that it would be easier for people in the research community to evaluate the model resulting from our technique and confirm for themselves that the content has indeed been 'unlearned,'" said Russinovich, chief technology officer of Microsoft Azure. "Almost anyone can come up with prompts for the model that would probe whether or not it 'knows' the books. Even people who haven't read the books would be aware of plot elements and characters."
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