AI Training

Every lab is different. Different instruments. Different methods. Different review standards. So if AI is learning in your lab…who is teaching it?

It’s not whether an AI can learn.

It’s how it learns and who controls that learning.

If expert knowledge only enters the system through prompts, massive retraining, or opaque updates, the AI is not governed. If changes happen without your approval, it is not compliant.

In regulated environments, AI must learn directly from expert review decisions, adapt to change, and do so under explicit control.

That’s the difference between AI that demos well and AI that delivers under real lab conditions.

We’ll be discussing this in depth at SLAS 2026, and handing out our TRUST Methodology For AI notebook at Booth #1266.

#SLAS2026 #AnalyticalLabs #LabAutomation #RegulatedAI #AIGovernance