Navigating AI Imperfection and Evaluation
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About this episode
Stella Liu joins JC explore the complexities of AI trust and evaluation in higher education. They discuss AI’s imperfect nature, the latest trends in open-source agents, and strategies for measuring and deploying AI responsibly. The conversation highlights practical approaches to scenario-based testing, differentiates between frontier models and endpoint solutions, and emphasizes balancing convenience, security, and academic integrity. Gain actionable insights for building rigorous evaluation frameworks and embracing AI as a “perfectly imperfect” tool for next-generation campuses.
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Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/
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