The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself
Over the past eight years Nir Eisikovits and Jacob Burley have been studying the moral implications of pervasive engagement with AI as part of a joint research project between the Applied Ethics Center at UMass Boston and the Institute for Ethics and Emerging Technologies. In a recent white paper, we argue that as AI systems become more autonomous, the ethical stakes of AI use in higher ed rise, as do its potential consequences.
