Royal Society Discussion Meeting on “The growing ubiquity of algorithms in society: implications, impacts and innovations”- 30th and 31st October 2017 at the Royal Society London
The usage of algorithms and analytics in society is exploding: from machine learning recommender systems in commerce, to credit scoring methods outside of standard regulatory practice and self-driving cars. The rapid adoption of new technology has the potential to greatly improve citizens’ experiences, but also poses a number of new challenges. This meeting will highlight opportunities and challenges in this rapidly changing landscape, bringing legal and ethics experts together with technologists to discuss implications, impacts and innovations. To register to this meeting follow the link at https://royalsociety.org/science-events-and-lectures/2017/10/algorithms-society/ . Speakers include: Chloe-Agathe Azencott (Mines ParisTech), Ken Benoit (LSE), Christina Blacklaws (Law Society), Iain Bourne (ICO), Kay Firth-Butterfield (Executive Director at AI-Austin), Cat Drew (Uscreates), Rebecca Endean (BEIS), Mireille Hildebrandt (Vrije), David Madigan (Columbia University), Kobbi Nissim (Georgetown University), Chris Reed (QMUL), Geraint Rees (UCL), John Quinn (United Nations Global Pulse lab), Hetan Shah (RSS). The meeting will consist of four sessions: Machine Learning and the Law, Algorithms, from regulation to privacy and trust, Algorithms with societal impact as well as Data analytics for human health. Organizers: Sofia Olhede (UCL), Patrick Wolfe (UCL), Neil Lawrence (Sheffield/Amazon) and Tony McEnery (ESRC) _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
