Science, Policy and a Pint: Rise of the Machines
7pm - 9pm
Join us for Science, Policy and a Pint to discover what concerns and predictions scientists from the University of Bath have over AI and how policy making can keep up with this impending technological disruption.AI promises lower operating costs, faster reaction times and reliability than your average human. Driven by strong economic forces (estimated to reach $90 billion by 2025) (Statista - 2018) this technology risks disrupting almost every industry and many aspect of our lives as we increasingly hand over our data and decisions to silicon machines.Although the government responded to a Select Committee Report on AI this summer, the head of the British Science Association recently expressed that AI is 'happening too fast' without proper scrutiny or regulation and is a greater concern than antibiotic resistance, climate change or terrorism for the future of Britain (Telegraph - 2018).For this edition we have a panel consisting of:Andreas Theodorou - Andreas is currently a PhD researcher in the Dept. of Computer Science. His research is focused in the design and implementation of intelligent systems, while trying to understand their effects on human societies. He is member of the national committees at the BSI ART/1 and ISO JTC1/42, as well as a member of the IEEE P7001 Committee. His policy work is focused towards the issues of accountability, responsibility, and transparency. He has recently submitted evidence, with his supervisor Dr. Joanna Bryson, at the AI All-Party Parliamentary Group and regularly provides commentary in his area of research.Brittany Davidson - Brittany is currently a PhD Researcher working on Behavioural Science and Cyber Security in the Dept of Management. Her research focuses on identity online with interests in data and information ethics. Brittany has also had first hand experience working with a new Parliamentary Team seeking advice from academics on emerging technologies.Dr. Julian Padget - Julian is a reader in the Dept. of Computer Science and is a member of the Centre for Biosensors, Bioelectronics and Biodevices (C3Bio). He teaches software engineering and intelligent agent design while his research focuses on knowledge driven intelligent systems capable of modelling legal and political events.