Overview
The future of quality –
AI-driven, human-led
Explore what compliant AI adoption looks like in regulated environments and how life sciences teams can move forward while expectations continue to evolve.
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Why this Summit, why now: AI is transforming quality and raising new questions about transparency, accountability, and oversight. Join QA leaders, regulators, and auditors to explore compliant AI adoption in life sciences.
What to expect
Where AI adoption
meets governance
As AI enters quality workflows, how should it be governed across validation, traceability, and reliance—and where must responsibility stay human?
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What you’ll leave with: You’ll gain a clear view of the key questions in AI for quality today: what human-in-the-loop really means, where regulations stand, what current FDA and EU guidance for model accountability clarifies, and what is still uncertain.
What’s really at stake
AI will change how quality teams work, but not the need for evidence, ownership, or accountability. Gain clear tools and strategies to adopt AI confidently while staying compliant at all times.
Interactive panels
and keynotes
Hear directly from experts applying AI in life sciences, covering validation, inspection readiness, data integrity, and how to get reliable results in practice.
Insightful
workshops
Learn how to implement AI in quality while maintaining traceability and compliance, with practical approaches you can use immediately.
Practical oversight
frameworks
Turn “human-in-the-loop” from theory into practical oversight and build governance that aligns with FDA guidance for AI credibility and EU GMP Annex 22.
Getting ready for the
Scilife Quality Summit?
Start here!
Agenda coming soon. In the meantime, explore the
Global Quality Outlook 2026 to see how QA teams
are navigating AI adoption, governance, and decision-
making in regulated environments.
are navigating AI adoption, governance, and decision-
making in regulated environments.
