Explore the challenges and potential of AI in pandemic response through this academic panel discussion featuring health AI specialists. Examine why AI had limited impact during COVID-19, analyze data science hurdles in healthcare, and uncover lessons learned for future crisis management. Gain insights into the strengths and weaknesses of AI applications in epidemiology, radiology, and healthcare modeling. Delve into critical issues such as data infrastructure, health data poverty, trust, transparency, and regulatory barriers. Discover strategies for training multidisciplinary researchers and integrating AI effectively in healthcare systems. Learn from expert perspectives on AI failures, implementation challenges, and the future potential of AI in addressing global health crises.