Lab Talk: AI and automation in research

This session explored how AI and machine learning are being applied in research, including the benefits, risks, and practical adoption strategies.

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Lab Talk: AI and automation in research

Lab Talk: AI and automation in research

What you'll learn

Realistic AI/ML use cases
Data analysis and pattern finding
Automation and monitoring
Risk/benefit assessment methods
Data quality and bias mitigation
Change management for teams
How to pilot and evaluate AI tools

An accessible overview of how AI and ML are used in research, the upside for discovery, and the trade-offs and risks to consider.

Where AI is already useful
Barriers to full adoption
Ethical and practical considerations

You’ll get a balanced view to inform sensible AI adoption in your lab.

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