Abstract
The chapter delves into the challenges and methodologies for edge AI verification and validation to identify the unique elements required to develop verifiable edge AI systems based on a structured verification and validation framework integrated with model- and data-driven engineering principles, assurance cases, and domain-specific requirements. It highlights the terminology and concepts for edge AI as a technology that integrates HW, SW, and edge AI technology and data while presenting the challenges of the convergence of these technologies in developing verification and validation solutions.