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Experimenting with AI

How to run small, safe and useful tests at work

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Language :  English
An accessible, practical guide to designing small, safe and useful AI experiments at work, helping participants move from casual exploration towards meaningful testing and clearer evidence.
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Description
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This Virtual Classroom explores how individuals and teams can experiment with AI in ways that are purposeful, manageable and safe. Participants consider how to turn a question, problem or hunch into a small, time-bound test, choose an appropriate method, involve relevant colleagues and decide what useful evidence might look like. The session also examines different types of AI experimentation, from comparing tools and prompts to testing new workflows, alongside practical guardrails around privacy, accuracy and human oversight. Through examples and reflection, participants develop a clearer framework for exploring AI, learning from unexpected results and deciding what is genuinely worth pursuing.

About the Expert

Jocelyn Burnham is a leading independent artificial intelligence communicator, workshop leader, and speaker, specialising in AI learning in the creative and cultural sectors.

Design small, focused AI experiments that address real workplace questions or challenges.

Evaluate different AI tools, prompts and workflows using meaningful evidence and success criteria.

Apply practical safeguards for privacy, accuracy and human oversight when testing AI solutions.

About the Author
Jocelyn

Jocelyn Burnham