In legal practice, we increasingly rely on predictions. Case outcomes, risk assessments, and AI tools shape everyday decisions. But how reliable are they? And what risks might they introduce?
Join Professor Carissa Véliz (University of Oxford) for a discussion of what happens when those predictions are wrong, and how that affects legal judgement.
Carissa will cover:
- why more data doesn't always improve decisions.
- how predictive tools can increase risk and reinforce bias
- what this means for professional judgement, ethics and client advice
You’ll come away with a clearer view of how to use (and question) predictive tools, and how we can prepare more effectively for uncertainty.