“Student cheating dominates talk of generative AI in higher ed, but universities and tech companies face ethical issues too“
Jeffrey C. Dixon, Professor of Sociology, College of the Holy Cross
Excerpt:
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.
I argue that responsibility, more generally, begins with the companies behind this technology and needs to be shouldered by higher education institutions themselves.
To ban or not to ban generative AI
Let’s start where some colleges and universities did: banning generative AI products, such as ChatGPT, partly over student academic integrity concerns.
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