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Each year the Digital Leaders Programme has included a Lecture, given by a leading technologist on an important issue of our time. Previously held in London, this year the Annual Lecture is moving out of London as part of Digital Leaders Week to Leeds.
As a self-professed non-expert on AI, businessman, civil servant and technologist Rob Wilmot will – from an informed, layman’s perspective – share his thoughts and observations on the opportunities and threats that AI brings to all our lives. In this lecture, Rob will explore the potential immediate and future impacts on society of the rise of AI. From self-driving cars that, in the moments before an impending accident, decide who lives and dies, to medical bots that help extend human life via machine learning, Rob will guide us through the rapidly accelerating breakthroughs in AI and the ethical challenges that its practical applications face us with.
Rob has had an unusual and diverse career. In 1998 he was one of the three founding executives of Freeserve, launched by the retailer Dixon. Freeserve became the UK’s largest ISP in just three months and floated on the London Stock Exchanged after only nine months with a market cap of £1.6 billion – entering the FTSE 100 and peaking at a market cap of £9 billion. At the age of 29, Rob found himself one of the youngest ever executive officers of a FTSE 100 company. Dixons sold Freeserve to France Telecom for £1.6 billion in 2001, when Rob exited the company. Since then he’s founded and invested in a number of businesses. He is currently CEO of his most recent venture, Crowdicity. With offices in London, Nottingham and Sydney, Crowdicity provides an award winning idea management platform that allows organisations to bring individuals together online to source, refine and select ideas, insights and opinions from employees, partners and consumers.
Rob is also partner and chairman of bcsAgency, a marketing and communications agency and is a non-executive director of the Crown Commercial Service, an executive agency sponsored by the Cabinet Office which provides commercial services to the public sector and saves money for the taxpayer. He also recently completed his two-year tenure as HM Government’s Crown Commercial Representative for Software. Working out of the Cabinet Office in Whitehall, he was responsible for resetting relationships with IBM, Oracle and Microsoft and developing commercial capability across government departments; bringing at risk project back in track and driving over a billion pounds in savings through the renegotiation of key government contracts.
Rob was recently made an entrepreneur in residence at the University of York where he is helping with the commercialisation of research, including AI and machine learning. In 2010 he was awarded an honorary doctorate from the University of Bradford (his alma mater) for his contribution to work of the university in the field of the Internet. He has also held a number of key roles in further education, including being invited in as Chair to lead the turn-around of the failing Doncaster College, which returned to financial health and achieved the status of Good in its Ofsted inspection after 7 years of hard work. In 2013 Rob was admitted as a Fellow of the Royal Society of Arts for his work in education.
Following the lecture a panel of A.I. experts will join Rob Wilmot on stage to discuss the lecture and take questions from the audience.
The Lecture panellists (pictured left to right): Annual Lecture Chair Tom Riordan, CEO of Leeds City Council, Sarah Burnett, Vice President of Research at Everest Group, Dr Kathleen Richardson, Senior Research Fellow in the Ethics of Robotics, De Montfort University, and Professor David Hogg, Professor of Artificial Intelligence at the University of Leeds.
The Lecture is being held at the magnificent Salem Chapel, home of AQL, which in its former role as a Methodist Chapel is claimed to be the birthplace of Leeds United FC. The lecture will be followed by a celebratory networking event.
This is a DL Yorkshire event
This annual lecture is made possible with the support of AQL