Join us for an insightful conversation with Dr. Dana Riger, UNC's inaugural Faculty Fellow for Generative AI, as she guides us through the rapid paradigm shift brought on by AI in higher education. Dr. Riger shares her journey from a "fear-driven" assessment redesign, after discovering ChatGPT, to developing a nuanced, values-driven framework for integrating and avoiding AI in the classroom.

We dive into practical strategies, like redesigning traditional research papers into creative, AI-avoidant multimedia projects, and intentionally integrating AI for skills development, such as using chatbots for practice dialogues on polarizing topics. Dr. Riger also addresses the institutional challenge of avoiding "one-size-fits-all" AI policies and underscores the importance of fostering an open dialogue. Ultimately, this episode offers a compelling vision for the future of teaching, emphasizing that the human educator's unique value lies in fostering empathy, presence, and critical dialogue, not just imparting knowledge.

Key Discussion Points:

• The AI Paradigm Shift: Dr. Riger's initial reaction to ChatGPT and her immediate, fear-driven assessment redesign in 2022.

• The Nuanced Approach: Distinguishing between AI-avoidant (experiential, creative) and AI-integrated (intentional skill-building) assessments.

• Practical Examples: How a multimedia project replaces a traditional paper, and using AI to practice difficult, emotionally laden conversations.

• Leading with Collaboration: Why policing AI use is ineffective and the importance of respecting student autonomy and ethical objections.

• Institutional Guidance: The missteps of mandated, uniform AI policies and the need for a thoughtful "middle ground" approach.

• The Value of Process: Shifting assessment focus from the final product to the process of learning (drafts, revisions, process logs).

• The Core Question: What are the unique, human-centered qualities (empathy, presence) that educators must prioritize in the age of AI?

• Break-the-Ice Questions – Three questions that instantly surface student misconceptions (and enthusiasm) about AI.
• Fake Fish, Real Ethics – Using deepfake trout to spark serious debate on consent, bias, and digital citizenship.
• Trailblazers 2.0 – What’s inside the 10-week fellowship (virtual sessions, $875 stipend, national recognition) and why rural teachers asked for it.

K-12 EdTech coach Danelle Brostrom joins us to talk about bringing curiosity, guardrails, and humanity to AI in schools. We dig into what we should learn from the social-media era, how librarians are frontline partners for information literacy, the real risks inside edtech privacy policies (and how districts can negotiate them), and concrete ways AI can expand access, like instant translation, reading-level adjustments, and executive-function supports. If you’re a district leader, principal, or teacher trying to move from paralysis to practical action, this conversation is your on-ramp.

• Don’t repeat social media’s mistakes. Protect in-person connection; teach students how to spot manipulated media and deepfakes.

• Librarians = misinformation SWAT team. Pair EdTech with media specialists to teach reverse-image search, corroboration, and bias checks.

• AI is already in your stack. Inventory tools teachers use; many “non-AI” products now include AI features that touch student data.

• Equity in action. Real-time translation, leveled texts, and scaffolded task breakdowns can immediately widen access—offer to all students.

• PD that sticks. Start with low-stakes personal uses (meal plans, resumes), then ethics, then classroom workflows—build a safe space to wrestle.

• Listen first. Talk to students about how they’re using AI; invite skeptics to the table.

• Leadership mindset. Curiosity, grace, and progress over perfection.