Navigating AI Imperfection and Evaluation
About this episode
Stella Liu joins Dr. JC Bonilla to discuss the complexities of AI trust and evaluation in higher education.
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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