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Machine Learning and the Law
Adrian Weller · Thomas D. Grant · Conrad McDonnell · Jatinder Singh

Thu Dec 08 05:00 AM -- 12:30 PM (PST) @ 111 + 112
Event URL: http://www.mlandthelaw.org/ »

Advances in machine learning and artificial intelligence mean that predictions and decisions of algorithms are already in use in many important situations under legal or regulatory control, and this is likely to increase dramatically in the near future. Examples include deciding whether to approve a bank loan, driving an autonomous car, or even predicting whether a prison inmate is likely to offend again if released. This symposium will explore the key themes of privacy, liability, transparency and fairness specifically as they relate to the legal treatment and regulation of algorithms and data. Our primary goals are (i) to inform our community about important current and ongoing legislation (e.g. the EU’s GDPR https://en.wikipedia.org/wiki/GeneralDataProtection_Regulation which introduces a "right to explanation"); and (ii) to bring together the legal and technical communities to help form better policy in the future.

Author Information

Adrian Weller (Cambridge, Alan Turing Institute)

Adrian Weller is Programme Director for AI at The Alan Turing Institute, the UK national institute for data science and AI, where he is also a Turing Fellow leading work on safe and ethical AI. He is a Principal Research Fellow in Machine Learning at the University of Cambridge, and at the Leverhulme Centre for the Future of Intelligence where he is Programme Director for Trust and Society. His interests span AI, its commercial applications and helping to ensure beneficial outcomes for society. He serves on several boards including the Centre for Data Ethics and Innovation. Previously, Adrian held senior roles in finance.

Thomas D. Grant (University of Cambridge)
Conrad McDonnell (Gray's Inn Tax Chambers)
Jatinder Singh (University of Cambridge)

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