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The use of generative AI in higher education raises ethical concerns beyond student cheating, including data privacy and the use of copyrighted material in training large language models, writes Jeffrey Dixon, a sociologist at the College of the Holy Cross. Dixon argues that the primary responsibility for ethical AI use should lie with technology companies and educational institutions, not just students, and highlights the need for universities to secure licenses that protect student data and provide equitable access to AI tools.
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Landmark College in Putney, Vt., is celebrating its 40th anniversary as a pioneering institution for neurodivergent students. Founded as an alternative to a proposed prison on the site of Windham College, Landmark has grown from 77 students to more than 400, offering personalized education and support for students with dyslexia, autism and ADHD. "We are teaching meta-cognition, self-awareness and self-advocacy," says professor Rebecca Matte. "In this environment, many of our students are less disabled, and they're figuring out how to make it work."
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The University of Michigan is investing $250 million over five years to establish a biomedical innovation institute focused on biological AI, clinical trials and commercialization. The initiative aims to recruit global scientists and accelerate the translation of research into patient care, Interim President Domenico Grasso says.
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