Delivered by Steve Morris MBA, Director & SME Sector Lead, Supply Chain, Partnerships & Programmes – Grab your lunch and a cuppa and when you finish you will be full of knowledge and full of food!
About the MTC
The MTC is a Catapult – in fact the largest manufacturing catapult in the UK. At the MTC, the focus is not merely on solving business challenges; it is on accelerating solutions. The MTC proudly engages in over 850 technical projects each year, harnessing the expertise of its 450+ in-house subject matter expert engineers to inspire new possibilities in the pursuit of innovation, efficiency and productivity.
The MTC possesses a unique combination of capabilities: an almost endless depth of technical application and technology expertise, a network of influential stakeholders and a fiercely independent spirit. These strengths all combine to create a formula for the most powerful of partnerships, with the collective ability to solve the greatest societal challenges or ignite previously impossible advances.
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 worshop 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.
Agenda
- Introduction to MTC
- What is AI
- AI Potentials
- Stagnant Adoption
- Challenges & Blockers
- Solutions -Trustworthy AI
- AI Regulation Landscape
- Case Studies
