AI in Higher Ed: Stop asking “if”, start asking “how”

The question isn’t whether you need AI; it’s how to make it work for your institution. From hype to implementation, this session explores what works, what doesn’t, and why. During the session, we debunked the biggest myths about AI in higher ed, revealed what today’s students expect, and shared a step-by-step framework for evaluating vendors. Plus, Carnegie Mellon University shared how they turned AI into a strategic advantage for staff efficiency, student success, and long-term institutional impact.

Learn how to:

• Differentiate between AI as a feature and as a strategy, and see why strategy drives lasting results.
• Debunk common myths in higher ed related to transparency, staff roles, and the student experience.
• Recognize what digital-native students expect and why real-time, personalized support is essential.
• Apply a vendor evaluation checklist covering integration, transparency, workload, scope, and outcomes.
• Define adoption criteria that align with institutional priorities to ensure meaningful impact.

Webinar facilitated by Inside Higher Ed