Evaluating AI: Challenges and Frameworks

This chapter explores the critical aspects of AI evaluation, focusing on the need for robust testing and measurement methods to address regulatory concerns. It emphasizes the complexities of assessing generative AI systems and advocates for learning from social science methodologies to create a reliable measurement framework. The conversation underscores the importance of collaboration among stakeholders and calls for an integrated approach to enhance the reliability and validity of AI assessments.