Lin, Z. (2024). Building ethical guidelines for generative AI in scientific research. Arxiv. This paper offers an initial framework by developing analyses and mitigation strategies across five key themes: understanding model limitations regarding truthfulness and bias; respecting privacy, confidentiality, and copyright; avoiding plagiarism and policy violations when incorporating model output; ensuring applications provide overall benefit; …
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