Bryan Alexander summarizes and then criticizes a Chronicle article by Scott Latham that can be summarized with two pullquotes: "Professors need to dispense with the delusional belief that AI can't do their job" and "I can think of no plausible scenario in which there will be an equal number of faculty members in 10 years as there are today." Alexander responds with a traditionalist stance: the lack of a working business model for AI, potential issues with copyright, regulation, energy use, resistance from faculty, AI as a threat to democracy, and resistance to dependence on screens. I could respond to all of these (again) but none of these objections holds. The only thing protecting today's faculty will be the slow speed of change; the future always arrives later than we think. That said, the greatest weakness in Latham's argument is a lack of imagination. When new technology arrives, we can either serve the same client base with fewer staff (which is what Latham predicts) or a much larger population with the same staff (which is my vision for the future). Learning technology has at least the potential to make higher education accessible to everybody; the greatest threat to that vision is the university itself, which for centuries has defined itself as serving (only) the elite.
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Bryan Alexander,
AI, academia, and the Future AI, academia, and the Future, 2025/05/09 [
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