For decades, there have been significant labor issues around the use of technology in higher education. Now, the uncritical adoption of artificial intelligence (AI) poses a threat to academic professions through potential work intensification and job losses and through its implications for intellectual property, economic security, and the faculty working conditions that affect student learning conditions. This list of resources includes principles and recommendations; bargaining and union guides; examples of resolutions, statements, and sample syllabus language; sample FOIA and audit requests; and feature articles from the AAUP’s publications Academe and the Journal of Academic Freedom. This page also includes further reading on approaches to surveillance concerns in higher ed and why we fight uncritical adoption of Generative AI (GenAI).
