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Algorithms Among Us: the Societal Impacts of Machine Learning
Michael A Osborne · Adrian Weller · Murray Shanahan

Thu Dec 10 12:00 PM -- 06:00 PM (PST) @ 210 e, f Level 2
Event URL: http://www.doc.ic.ac.uk/~mpsha/NIPS_Symposium_2015.html »

Public interest in Machine Learning is mounting as the societal impacts of technologies derived from our community become evident. This symposium aims to turn the attention of ML researchers to the present and future consequences of our work, particularly in the areas of privacy, military robotics, employment and liability. These topics now deserve concerted attention to ensure the best interests of those both within and without ML: the community must engage with public discourse so as not to become the victim of it (as other fields have e.g. genetic engineering). The symposium will bring leaders within academic and industrial ML together with experts outside the field to debate the impacts of our algorithms and the possible responses we might adopt.

If you have a question for our speakers, please submit it here: http://tinyurl.com/algorithmsamongus

Author Information

Michael A Osborne (U Oxford)
Adrian Weller (University of 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 Senior Research Fellow in Machine Learning at the University of Cambridge, and at the Leverhulme Centre for the Future of Intelligence where he leads the project on Trust and Transparency. 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.

Murray Shanahan (Imperial College London)

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