Artificial intelligence is entering classrooms and lecture halls through AV systems in ways that go far beyond voice assistants. From automated camera tracking to intelligent captioning and content indexing, AI has the potential to transform how learning spaces operate. But with promise comes challenges: privacy, accuracy, cost, and the risk of over-designing solutions that faculty and students will not use. This panel brings together voices from higher education, AV integration, and technology development to debate where AI belongs in campus AV, what problems it really solves, and how to separate hype from lasting value. 

Description 
This session will explore how AI-driven AV tools are reshaping the higher education experience. Panelists will discuss real use cases, such as AI-powered lecture capture, adaptive sound reinforcement, automated room scheduling, and real-time translation. The conversation will highlight where these solutions deliver measurable improvements and where they fall short. We will also tackle issues of accessibility, data privacy, and whether AI increases or decreases faculty workload. Attendees will leave with a clearer sense of what AI can and cannot do for higher ed learning environments, along with questions they should be asking vendors before making investments. 

Learning Objectives: 
Examine practical AI applications in AV for higher ed and their impact on teaching and learning. 
Identify risks and limitations, including privacy and adoption concerns. 
Learn how to evaluate AI solutions based on measurable outcomes, not hype. 
Hear multiple perspectives on how AI will shape future learning spaces.