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Workshops
The first day of the conference comprises a range of workshops, to be held on Tuesday 12th December. Delegates will find these events to be especially valuable where there is a current need to consider the introduction of new AI technologies into their own organisations. There will be four half-day workshops. Delegates are free to choose any combination of sessions to attend. The programme of workshops is shown below. Note that the first session starts at 11 a.m. to reduce the need for delegates to stay in Cambridge on the previous night. There is a lunch break from 12.30-13.15 and there are refreshment breaks from 14.45-15.15 and from 16.45-17.00. Workshops organiser: Professor Adrian Hopgood, University of Portsmouth, UK
Sessions 1 and 2 - Stream 1 (11.00-12.30 and 13.15-14.45 Lubbock Room)AI Trends in Healthcare
Chair: This workshop will look at how AI is being used in healthcare and its likely future uses. The importance of appropriate health data structures and management will be highlighted. Further details to follow.
Sessions 1 and 2 - Stream 2 (11.00-12.30 and 13.15-14.45 Peterhouse Lecture Theatre)AI for Manufacturing and Supply Chains
Chair: Since the Industrie 4.0 initiative was launched in Germany over more than a decade ago, the advancements on the Industrial Internet of Things and the developments in Cloud and Edge computing, there has been an accelerated advancement of research into the applications of AI across all levels of the manufacturing business, from the shopfloor to the supply chain. In this workshop, we will look at some of the most successful applications of AI in manufacturing and the supply chain as well the particular challenges this sector faces to achieve its scalability.
Sessions 3 and 4 - Stream 1 (15.15-16.45 and 17.00-18.30 Lubbock Room)Computational Scientific Discovery in Social Sciences
Chairs: This workshop will explore some AI approaches to developing scientific models, particularly considering applications in social science. This area is relatively unexplored, and presents some unique challenges, particularly as models must address both the less-than-perfect accuracy of human behaviour as well as capture this behaviour in time-bound environments. We will provide an introduction and case-studies in this area and deliver a tutorial on GEMS, our own system of scientific discovery. Programme:
Sessions 3 and 4 - Stream 2 (15.15-16.45 and 17.00-18.30 Peterhouse Lecture Theatre)Testing AI
Chairs: This workshop will explore challenges of testing AI, particularly adaptive systems and and those used in safety critical environments. The workshop will present insights from a project developing AI testing approaches and tools and will be demonstrated using case examples. The workshop will be engaging, encouraging participation and sharing of insights around this increasingly important aspect of AI based systems. The toolsets and approaches covered include affordances mapping (AM), bounds of applicability (BoA), and temporal modelling (TM), which can be applicable to other AI systems. The workshop also engages participants in practical applications around a further case example. Programme:
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