Audience
The masterclass combines lectures, hands-on workshops, and case studies to provide practical approaches to adopt an AI assurance approach back in the workplace. Attendees should have some familiarity in python coding at least to entry level and have a keen interest in understanding a holistic approach to delivering trusted AI. We will provide certification of completion of AI Assurance Masterclass.. Registration is required – please follow the link to sign up.
Prices:
- Non-Member £1,250 + VAT (£1500 inc. of VAT)
- OR Society Member £990 + VAT
Venue: Imperial College London
2 day course, 2 – 3 September 2025, 09:00 – 17:00
Learning objectives:
- Understanding the six pillars of trusted AI.
- Familiarisation with the roles & processes to deliver an AI assurance culture.
- Technical skills for deploying trusted AI.
Topics
- Checklists and kitemark approach to delivery of trusted AI.
- Responsible use of Generative AI & prompt engineering.
- Effective scoping of AI projects.
- Data Engineering including curation and data quality challenges
- Maintenance of AI systems and management through turbulent times.
- Ethics, legal issues and governance of AI.
Course format
The masterclass combines lectures, hands-on workshops, and case studies to provide practical approaches to adopt an AI assurance approach back in the workplace. Participants will engage in group discussions and projects to reinforce learning and encourage collaboration. We are also delighted to welcome expert speakers including Professor David Hand (Imperial College London) and Dr Gilbert Owusu (Ex-OR Society President) to provide personal insights into topics such as dark data and OR-enabled AI.
Meet the Tutor: Dr Tony Bellotti
Dr Tony Bellotti is a co-founder of the Validate AI community interest company that since 2019 has been convening government, academia and industry to develop trusted AI solutions. He has extensive practitioner and academic experience in machine learning and credit risk for over 20 years. He is currently Associate Professor at Nottingham University, China campus, and was senior lecturer at Imperial College London until 2019. Over his time as an academic, he has worked with industry and government as consultant and trainer, delivering machine learning masterclasses within UK government and for other fiscal authorities internationally. He has engaged in joint work with academics and practitioners in Pakistan, USA and Belgium, and is currently teaching and engaging in research in China.