Arizona State University faculty members raised concerns that an AI course-material scraping program launched for a new platform is using lecture snippets without faculty consent. Faculty say the Atomic subscription service is producing decontextualized snippets of lectures and generating error-prone summaries. The dispute centers on governance and academic freedom questions: professors argue that use of course content for AI system development should involve faculty consultation and clear terms for accuracy, attribution, and IP protections. The incident reflects rising campus policy tensions as universities adopt external AI tools for teaching and learning while faculty associations seek clearer guardrails for what counts as allowable use of lecture materials. For instructional technology leaders, the situation signals that procurement alone may not resolve risk—campuses may also need faculty governance pathways, transparency requirements, and quality controls tied to AI-generated outputs.