Navigating AI Model Selection and Governance

This chapter emphasizes the limitations of benchmark scores in AI model selection and advocates for understanding business-specific needs. It explores the emerging concept of model trust scores, the balance between governance and deregulation, and the role of open source in fostering transparency and accountability. The discussion also highlights the importance of risk management strategies and real-time monitoring to ensure AI applications align with organizational values.