Training users in AI
Jinfo Community

23rd April 2026

Description

 

Managing how end users interact with data and AI in practice – not just in theory – is challenging, and needs to be approached carefully to support users without creating a sense of policing.

This session took a hands-on approach to how we guide, educate, and support users in working with AI and licensed content.

We explored practical, real-world scenarios such as:

• "I have 10 articles – now what?"
  Turning everyday tasks into opportunities to teach effective (and responsible) AI use
  
  
• From use case to guidance
  How do we translate policies into clear, usable instructions for end users?
  
  
• What does "good output" look like?
  Helping users assess, question, and improve AI-generated results
  
  
• Scaling learning
  Moving from one-off demos to embedded, repeatable user practices.

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