The AI Revolution in Education, Part 1: The Problem

Artificial intelligence has created dilemmas for educators with no simple solution. Should schools ban it, permit it, or regulate it? Each choice creates at least six problems:

1. Enhancing learning. If AI writes a student's paper, what has the student learned? Evidence suggests that students recall less of the AI-generated content in their assignments, suggesting they do not study the new information.
2. Legitimizing Writing. If AI can produce a competent essay in seconds, why should students struggle to write one? This question implies that writing may go the way of the slide rule.
3. Equalizing access. If students do not have equal access to technology and sophisticated AI tools, will the have-nots have  the knowledge required to use them effectively? AI can therefore create new educational inequalities, even as it promises greater access to information.
4. Protecting privacy. Might students and teachers enter personal information or student work into systems whose data practices they do not fully understand? UNESCO identifies privacy, human agency, accountability, and equity as important considerations in educational AI.
5. Assigning responsibility. If AI provides a wrong answer, who is accountable for accepting responsibility? This point is no small one because content verification can be untraceable.
6. Engendering relevance. What should education preserve when technology changes what people can do? Answering this question is not only at the heart of education but a major factor for giving people worldwide relevant employment.

AI technology is changing every imaginable industry from dairy to diamonds, from medicine to electricity. The challenge is not simply deciding whether AI belongs in education, but which parts of education should remain unmistakably human.