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PANEL

AI Transparency, Law and Policy

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?

Friday, 25 October, 12:20
Duration: 40 minutes
Keynote Stage

Facilitator

Speaker_Amanda-Brock

Amanda Brock

CEO, OpenUK

Amanda Brock is CEO of OpenUK, the UK organisation for the business of Open Technology: open source software, open hardware, open data, open innovation, open standards and open access AI - with a purpose of UK Leadership and Global Collaboration in Open Technology.

LinkedIn: linkedin.com/in/amandabrocktech

Website: https://amandabrock.com/

 

Expert Panel

Speaker_Neil-Lawrence

Prof Neil Lawrence

DeepMind Professor of Machine Learning, University of Cambridge

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 forthcoming book The Atomic Human (release date 30th May 2024). 



Speaker_Alex-Housely

Alex Housley

Founder - Seldon

Alex has been founding and building technology companies since 2003, focusing on mobile, data, and machine learning (ML). While developing a startup that delivered personalized news article recommendations to hundreds of millions of readers across national and regional publications, he experienced firsthand the challenges of scaling model deployment infrastructure. Motivated to address these challenges, he founded Seldon in 2014 with the aim of democratizing ML operations to solve the world's most pressing issues.

Seldon became the first open-source MLOps platform built on Kubernetes, specializing in ML deployment and the production lifecycle of models. Under Alex's leadership as CEO and CPTO, it has powered model deployments for global industry leaders across sectors, including automotive, banking, insurance, life sciences, big tech, and defence. Seldon has deployed over 10 million models and developed tools for effective model oversight and ethical AI practices. Over the last decade, he has played a key role in shaping the MLOps industry, delivering measurable and meaningful results for clients worldwide. Seldon has raised over $30 million in funding from leading venture capitalists and angel investors.


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