Date: |
23 Oct 2026, 12.00PM – 1.00PM |
duration: |
1 hr |
Location: |
Online |
Cost: |
Free event |
Join the IT Engineers for an insightful presentation with Paul Leroy exploring AI governance from an engineering and technology perspective, focusing on the practical controls and technical considerations needed to deploy and manage AI responsibly at scale.
We’ll look beyond governance theory to examine how AI governance translates into architecture, engineering practices, security controls, data management, monitoring, and operational processes.
What you’ll learn
- The core principles of AI governance and how they apply to engineering teams
- Key technical risks associated with AI systems, including data leakage, model risk, security vulnerabilities, and third-party dependencies
- How governance requirements can be incorporated into AI architecture and the software development lifecycle
- Practical approaches to AI security, access control, data protection, and model monitoring
- The role of engineers in implementing responsible AI controls
- How to assess and govern the use of third-party AI services and tools
Whether you’re already deploying AI solutions or preparing your organisation for wider AI adoption, this webinar will provide practical insights into making AI governance an effective part of your technical environment, not simply a policy exercise.
Presenter Bio:
Paul Leroy is a veteran IT consultant and Google Cloud Trainer. Drawing on his foundational background in industrial electrical engineering, with over 15 years of experience architecting cloud systems, and his role as the Policy Working Group Lead for the Thames Valley AI Hub, Paul bridges the gap between heavy industry, governance, and modern data science.
AI is becoming embedded across software, infrastructure, data platforms, and enterprise applications, but introducing AI into technical environments brings new challenges around security, privacy, risk, compliance, and operational control.
Join the IT Engineers for an insightful presentation with Paul Leroy exploring AI governance from an engineering and technology perspective, focusing on the practical controls and technical considerations needed to deploy and manage AI responsibly at scale.
We’ll look beyond governance theory to examine how AI governance translates into architecture, engineering practices, security controls, data management, monitoring, and operational processes.
What you’ll learn
- The core principles of AI governance and how they apply to engineering teams
- Key technical risks associated with AI systems, including data leakage, model risk, security vulnerabilities, and third-party dependencies
- How governance requirements can be incorporated into AI architecture and the software development lifecycle
- Practical approaches to AI security, access control, data protection, and model monitoring
- The role of engineers in implementing responsible AI controls
- How to assess and govern the use of third-party AI services and tools
Whether you’re already deploying AI solutions or preparing your organisation for wider AI adoption, this webinar will provide practical insights into making AI governance an effective part of your technical environment, not simply a policy exercise.
Presenter Bio:
Paul Leroy is a veteran IT consultant and Google Cloud Trainer. Drawing on his foundational background in industrial electrical engineering, with over 15 years of experience architecting cloud systems, and his role as the Policy Working Group Lead for the Thames Valley AI Hub, Paul bridges the gap between heavy industry, governance, and modern data science.
