Prof Neil Lawrence
- panel
AI Transparency, Law and Policy
Learn from AmandaHear from world leading experts on why AI transparency is critical, and what role government and legislation have to play in innovation and safety.
The pace of innovation with AI will not stop, but with new technologies comes new emerging risks. Risks that we don't even fully understand yet. Join a panel of AI experts as we wrestle with the topics of law, policy and legislation in a rapidly evolving landscape. What does good look like for AI transparency and explainability? How do we prepare ourselves for the next AI Act? And how do we ensure we mitigate against unintended consequences when building AI based solutions?
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Originally presented in the Keynotes - Day 2 track
About Prof Neil Lawrence
Neil Lawrence is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge where he leads the University’s flagship mission on AI, AI@Cam. He has been working on machine learning models for over 20 years. He recently returned to academia after three years as Director of Machine Learning at Amazon. His main interest is the interaction of machine learning with the physical world. This interest was triggered by deploying machine learning in the African context, where ‘end-to-end’ solutions are normally required. This has inspired new research directions at the interface of machine learning and systems research, this work is funded by a Senior AI Fellowship from the Alan Turing Institute. Neil is also visiting Professor at the University of Sheffield and the co-host of Talking Machines. He is the author of the The Atomic Human.