AI Assurance Conference 2026
- Date
- 2026-09-09
- Location
- MTC, Coventry, United Kingdom
- Host
- Manufacturing Technology Centre (MTC) Robotics & Automation
About this event
AI is moving fast from research labs into factories, robots, and production systems that have real safety, quality, and operational consequences. AI Assurance Conference 2026 is built for people who need to make these systems trustworthy in practice, not just impressive in a demo. If you work in robotics, industrial robotics, or advanced manufacturing, this is a chance to spend time with peers who are asking the same hard questions: how do we validate AI-driven systems, manage risk, and deploy with confidence? The setting at MTC in Coventry makes this especially relevant for anyone focused on applied innovation in manufacturing environments. About the Event This is an in-person conference at MTC, Coventry, United Kingdom, focused on the fast-growing need for assurance in AI-enabled industrial systems. The event brings together professionals working where AI meets physical operations: manufacturing lines, robotic cells, industrial automation, and the processes that support safe and reliable deployment. At its core, the conference is about one thing: turning AI assurance from an abstract idea into an operational discipline. In industrial settings, it is not enough for a model or robot to perform well in ideal conditions. Teams need methods, standards, governance, testing approaches, and shared language to evaluate performance, reliability, traceability, and risk. Expect a conference format that supports both learning and practical discussion. Rather than treating assurance as a purely technical issue, the event is likely to matter most to people working across engineering, operations, quality, compliance, product, and leadership roles where decisions about AI adoption have direct business and safety implications. What to Expect You can expect focused conversations around the realities of using AI in industrial and manufacturing contexts. That includes the systems around the models themselves: validation processes, deployment considerations, oversight, documentation, and the operational conditions that shape whether an AI system can be trusted on the shop floor. The strongest value of a conference like this is the mix of perspectives in one place. Attendees are likely to span technical specialists, robotics professionals, manufacturing leaders, and people responsible for governance or assurance frameworks. That creates room for discussions that go beyond theory and into how organizations actually assess and implement AI in environments where uptime, precision, and safety matter. Topics and activities will likely resonate with anyone thinking about questions such as: How AI assurance applies to robotics and industrial automation What robust evaluation looks like in manufacturing environments How to think about reliability, consistency, and risk in deployed systems Where governance and accountability sit when AI influences operational decisions How assurance practices can support adoption rather than slow it down Because this is an in-person event, expect the informal parts of the day to matter too. Some of the most useful conversations at specialist conferences happen between sessions, when attendees can compare challenges, tools, internal processes, and lessons learned from real deployments. Why Attend If AI is becoming part of your industrial roadmap, assurance is not a side topic. It affects whether projects move from pilot to production, whether stakeholders trust the results, and whether organizations can scale adoption responsibly. This conference gives you a place to sharpen your thinking before those decisions become expensive. You should come if you want a clearer view of what “trustworthy AI” means in industrial practice. That may mean understanding technical assurance methods, seeing how peers are approaching governance, or simply getting better at asking the right questions before introducing AI into critical workflows. Attending can help you: Benchmark your current thinking against others working in robotics and advanced manufacturing Identify assurance gaps early before they become deployment or compliance problems Connect technical and operational perspectives inside your own organization Bring back practical ideas for testing, oversight, and implementation Build relationships with people facing similar deployment and assurance challenges For teams under pressure to innovate without creating unnecessary operational risk, that combination is valuable. You are not just attending to hear about AI. You are attending to understand how to use it responsibly in environments where performance has to hold up in the real world. Practical Details Location: In person at MTC, Coventry, United Kingdom. For a conference centered on industrial AI, robotics, and advanced manufacturing, this is a fitting venue and an easy signal that the event is grounded in application, not abstraction. Date and time: Wednesday, September 9 at 1:00 AM GMT+1. If you are traveling in, plan your logistics carefully and confirm your route and arrival timing in advance so you can make the most of the day on site. This is best suited to attendees who want face-to-face discussion and direct contact with others in the field. If your work touches AI deployment, robotic systems, manufacturing innovation, assurance, quality, or governance, it is worth making time for an in-person day where those threads come together in one focused setting. Bring your real questions. The people who will get the most from this conference are the ones actively thinking through implementation, risk, and readiness, and who want grounded conversations with others doing the same.
Who should attend
This is for people who are actively shaping how AI gets used, tested, and trusted in industrial settings. - **You work in robotics or industrial robotics** and need clearer ways to think about reliability, validation, and oversight as AI becomes part of control, perception, or decision-making systems. - **You lead or support advanced manufacturing initiatives** and want to understand how assurance can help AI move from experimentation into dependable production use. - **You sit in engineering, automation, or technical leadership roles** and need practical insight into how peers are approaching deployment risk, performance confidence, and operational accountability. - **You work in quality, compliance, safety, governance, or assurance** and want stronger context for evaluating AI-enabled systems in environments where mistakes have real consequences. - **You are responsible for digital transformation, innovation, or manufacturing strategy** and need to connect AI ambition with robust operational safeguards. - **You value in-person conversations with practitioners** who understand the realities of factories, production systems, and industrial technology adoption. If you are trying to make AI useful in manufacturing without treating trust, safety, or accountability as afterthoughts, this conference will feel relevant very quickly.