Heather discusses the critical steps involved in the verification and validation of AI models, emphasizing the importance of a systematic approach. She breaks down the process from model in the loop to hardware in the loop, highlighting the need for careful testing at each stage to ensure reliability. The conversation sheds light on the integration of AI into established certification processes, which can seem tedious but is essential for safety and efficacy.
