Navigating AI's Explainability and Trust in Critical Fields

This chapter explores the complexities of adversarial training and the challenges of ensuring coherent model explanations in AI. The conversation emphasizes the critical implications of AI reliability, particularly in medical diagnostics, and the ethical responsibilities of AI companies. Additionally, it highlights the importance of understanding the limitations of language models and the necessity of careful evaluation in their applications across various sectors.