Ethical Concerns of AI in Higher Education

The use of AI tools in higher education raises concerns about collateral damage, with even the best tools having a 5% error rate. This can lead to falsely accusing students of cheating and diminishing trust in higher education. Questions about acceptable levels of collateral damage, false positives, and false negatives arise, highlighting ethical implications. There is a fear that AI tools could disproportionately impact students who can afford advanced AI versions, potentially widening educational inequalities.