https://hai.stanford.edu/news/ais-fairness-problem-when-treating-everyone-same-wrong-approach?utm_source=Stanford+HAI&utm_campaign=5056be677e-hai_news_february_23_2025&utm_medium=email&utm_term=0_aaf04f4a4b-f0e42e97e6-214113950&mc_cid=5056be677e&mc_eid=6246a75df5 Current generative AI models struggle to recognize when demographic distinctions matter. The current state of large language models (LLMs)? Anthropic’s Claude responds that military fitness requirements are the same for men and women. (They are not.) Gemini recommends Benedict Cumberbatch as a good casting choice for the last emperor of China. (The last Emperor of China was, well, Chinese.) And Gemini similarly advises that a synagogue must treat Catholic applicants the same as Jewish applicants to serve as a rabbi. (That is legally false .) These are all examples of how the dominant paradigm of fairness in generative AI rests on a misguided prem...
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