The progress of Artificial Intelligence (AI) in recent years has transformed the public perception of AI from being science fiction and researched by top universities to A tool for present day applications. While AI and Machine Learning technology has rapidly developed, the implementation and adoption of these technologies in the manufacturing sector has been slow. One of the reasons why this has occurred has been the lack of Trust in AI systems and clear understanding of standards and policies. Trustworthy AI looks to establish this trust through a series of principles and practices that provide confidence that an AI system is secure, fair, transparent, accountable, and robust. AI assurance techniques mean to provide a framework for manufacturing stakeholders to assess trustworthiness in the development and deployment of their AI systems.