CHEA announced a new Council of Experts on Quality Assurance and Accreditation to strengthen engagement on academic quality issues, including the growing role of AI in teaching and learning. The council—chaired by Indiana University Indianapolis assessment leader Stephen P. Hundley—will advise CHEA on emerging issues spanning student outcomes, assessment, institutional effectiveness, innovation, and AI-related accreditation concerns. The initiative positions CHEA to interpret how assessment practices and institutional effectiveness measures should evolve as AI changes course design, instruction, and evaluation. It also signals that quality assurance bodies will increasingly need structured expertise to respond to policy changes and verify institutional claims about learning and integrity. For higher education leaders, this matters because accreditation expectations often become de facto standards for how institutions implement AI tools in ways that maintain assessment reliability and student success outcomes.