Recently, stories about AI have been leading the news, including deals about publications licensing their content, or content errors made by AI. Now, a new paper by computer science Ph.D. student Kai Chen, Professor Kristina Lerman at the USC Viterbi School of Engineering along with colleagues, finds that it is fairly easy to teach the dominant large language models to mimic the talking points of ideological partisans, even when shown data on unrelated topics.
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