AI: a trustworthy framework

Recent advancements in Artificial Intelligence (AI) have shifted its perception from science fiction to practical applications. Despite rapid AI development, its adoption in manufacturing has been slow due to a lack of trust and clear standards. Trustworthy AI aims to build confidence by ensuring systems are secure, fair, transparent, accountable, and robust. AI assurance techniques provide a framework to assess these aspects. However, the abundance of AI standards and policies complicates their practical application. Manufacturing stakeholders struggle to identify relevant guidelines, hindering AI integration. This paper reviews current AI standards and assurance techniques, highlighting the need for a comprehensive, applicable framework to enhance AI adoption in manufacturing. Recommendations include creating a universally applicable approach for broader industry implementation.