3-day Virtual Seminar

AI in Regulatory Intelligence

Overview

This session looks at the intersection of generative AI and regulatory intelligence, with a focus on using AI to make information-heavy work more manageable. Rather than treating AI as a substitute for regulatory expertise, the webinar explores its role in supporting activities such as summarisation, information organisation, comparison, horizon scanning and the preparation of internal intelligence outputs.

Participants will also examine the controls that matter when AI is introduced into regulatory work: checking information against authoritative sources, recognising hallucinations and outdated knowledge, protecting sensitive information, retaining human judgement and understanding when an AI-assisted output requires further specialist review. The session is presentation-based, using explained examples and frameworks that attendees can adapt to their own organisational policies and workflows.

Why you should Attend

The challenge for regulatory teams is no longer simply finding information; it is keeping pace with the volume of information and deciding what matters. AI can accelerate that process, but speed without verification can create a different problem - outdated information, missed context or confidently presented inaccuracies influencing regulatory work.

This webinar examines how AI can be used as an intelligence-support tool rather than an unquestioned source of truth. Attendees will learn how to gain efficiency from AI while keeping authoritative sources, critical thinking, human review and organisational controls at the centre of the process.

Areas Covered in the Session

• Understand how generative AI can support regulatory intelligence without replacing regulatory expertise or professional judgement
  
• Explore AI-assisted approaches to monitoring, organising and summarising regulatory information from appropriate sources
  
• See how AI can help compare regulatory developments, extract key themes and structure information for internal review
  
• Use stronger prompting approaches to define scope, context, format and source expectations when working with regulatory information
  
• Recognise hallucinations, outdated information, missing context and other limitations that can distort an AI-generated regulatory summary
  
• Apply source verification and critical review so that important conclusions are traced back to authoritative regulatory information
  
• Consider confidentiality, data handling and governance when regulatory teams use public or enterprise generative AI tools
  
• Distinguish lower-risk productivity uses from situations requiring greater control, specialist review or established organisational processes
  
• Develop a responsible AI-assisted regulatory intelligence workflow built around efficiency, verification, human oversight and accountability
  

Who Will Benefit

• Regulatory Affairs Professionals
  
• Regulatory Intelligence and Regulatory Strategy Teams
  
• Regulatory Operations Professionals
  
• Quality and Compliance Professionals
  
• Clinical and Safety Professionals who monitor regulatory developments
  
• Life Sciences Project and Programme Managers
  
• Managers responsible for AI adoption within regulated functions
  
• Pharmaceutical, biotechnology and medical device professionals working with regulatory information