The American Association of University Professors (AAUP) might have become something it should have. Instead, the organization opted for shoring up institutional employer shortcomings, first as a professional association and later as a faculty employee union. While the AAUP has made itself an authoritative functionary of the inherited institutional model, 110 years ago when the organization was founded, 55 years ago when it morphed into a labor union, or at any time along the way, why did its members not wonder if there is a different way to serve and steward the social good of higher education?
In the history of the AAUP you will find no ad hoc committees or research reports of any kind that pose this question. Like the rest, exclusive institutional employment and enrollment remains the unexamined assumption of its members. As such, all AAUP action amounts to a (defensive) reaction to the dynamics of this unchallenged, inherited, monopolistic mode of higher education earning and learning. This makes everything the AAUP says on the question of AI in the academe both irresponsible and predictable, as evidenced in its July 2025 report, "Artificial Intelligence and Academic Professions."
Though the title indicates that the AAUP has in mind a narrow band of dues-defined concerns for its report, the PSA response to AI has in mind a more inclusive, direct, explicit concern for the entire social good and all those who depend upon it. In comparing the ad hoc committee and PSA responses, I find myself increasingly concerned about the future of higher education and so this post addresses each of the report's findings and recommendations on AI in the academe.












