Laplace's Gremlin: Uncertainty and Artificial Intelligence
Neil Lawrence, Inaugural Deep Mind Professor of Machine Learning at the University of Cambridge, Senior AI Fellow at the Alan Turing Institute, visiting Professor at the University of Sheffield and the co-host of Talking Machines.
With breakthroughs in understanding images, translating language, transcribing speech artificial intelligence promises to revolutionise the technological landscape. Machine learning algorithms are able to convert unstructured data into actionable knowledge. With the increasing impact of these technologies, society’s interest is also growing.
The word intelligence conjures notions of human-like capabilities. But are we really on the cusp of creating machines that match us? We associate intelligence with knowledge, but in this talk I will argue that the true marvel of our intelligence is the way it deals with ignorance.
Despite the large strides forward we have made, I will argue that we have a long way to go to deliver on the promise of artificial intelligence. And it is a journey that our societies need to take together, not just as computer scientists, but together by rediscovering the interdisciplinary spirit that Celsius, Linnaeus and their contemporaries did so much to demonstrate.
Neil Lawrence is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge. 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.