EDUCAUSE Exchange

As artificial intelligence (AI) becomes embedded in day-to-day work across higher education, institutions face growing challenges in aligning its use with organizational strategy. This episode explores the need for coordinated leadership, clear guidance, and ongoing learning to help employees use AI responsibly, confidently, and effectively while managing emerging risks and opportunities.

Artificial intelligence is amplifying cybersecurity risks in higher education by making threats like phishing more effective and vulnerabilities easier to exploit, while increasing pressure on institutions to strengthen security without sacrificing openness, innovation, or the academic mission. This episode examines four key challenges facing cybersecurity leaders.

Generative artificial intelligence is pushing teaching and learning away from a model centered on producing answers and academic artifacts and toward one that places greater weight on process, judgment, reflection, and applied thinking. In conversations with campus leaders, three priorities emerged.

Across campuses, conversations about artificial intelligence are sometimes being framed by unease rather than enthusiasm. Leaders, faculty and students are questioning how fast to move, what might break and who bears the risk.

Colleges and universities have begun formalizing the chief AI officer role as they respond to the growing impact of generative artificial intelligence on teaching, research, and operations. Reflections from early incumbents point to five lessons about how AI leadership in higher education is taking shape.

AI is helping campuses work faster without cutting staff. The University of Michigan and UC San Diego show how institution-specific tools save time, reduce costs, and deliver better support.