Debates about generative artificial intelligence on college campuses have largely centered on student cheating. But focusing on cheating overlooks a larger set of ethical concerns that higher education institutions face, from the use of copyrighted material in large language models to student privacy.
As a sociologist who teaches about AI and studies the impact of this technology on work, I am well acquainted with research on the rise of AI and its social consequences. And when one looks at ethical questions from multiple perspectives – those of students, higher education institutions and technology companies – it is clear that the burden of responsible AI use should not fall entirely on students’ shoulders.
