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Workshops

The first day of the conference comprises a range of workshops, to be held on Tuesday 17th 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, including the Twenty-fourth UK CBR Workshop. 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 for Future Digital Health - Download slides (opens in new tab)

Chairs:
Prof. Nirmalie Wiratunga, Robert Gordon University & Prof. Frans Coenen, University of Liverpool

Artificial Intelligence (AI) offers the potential to revolutionise healthcare, the potential benefits have been well reported. The need for AI skills in healthcare has been identified by governments, and named as the principal driver for personalised healthcare and as providing a potential solution to the health funding gaps. Examples where AI can benefit healthcare and wellbeing include wearable devices for monitoring individuals, more effective diagnoses, better understanding of treatments, the minimisation of clinical risks, the closure of care gaps, drug discovery and innovative preventive healthcare solutions.

The AI for Digital Health workshop will bring together AI practitioners from the health provider organisations, commercial enterprises with an interest in health care and academic researcher working in AI for future digital health. The workshop will encompass a number of strategic research themes including machine learning, medical diagnosis, analysis of health records and reasoning mechanisms to support decision making.

Provisional programme

Session 1 (11.00-12.30):

Frans Coenen, Dept Computer Science, University of Liverpool, “AI and Future Digital Health”.
Anjana Wijekoon, School of Computing Science and Digital Media, Robert Gordon Aberdeen University, “Rehabilitation Exercise Recognition with Multi-modal Sensing”
Zina Ibrahim, King's College London. “Modelling Rare Interactions in ICU Time Series Data Through Qualitative Change”.

Session 2 (13.15-14.45):

Yalin Zheng, Royal Liverpool University Hospital, “AI in Eye and Vision Science: Will Computer Vision Help Human Vision?”
Obinwa Ozonze, University of Portsmouth, “Towards Improving the Quality of Health Data with AI”.
Nirmalie Wiratunga, School of Computing Science and Digital Media, Robert Gordon Aberdeen University, “Personalised Digital Interventions for Self-management of Low Back Pain”

Sessions 1 and 2 - Stream 2 (11.00-12.30 and 13.15-14.45 Peterhouse Lecture Theatre)

24th UK Symposium on Case-Based Reasoning (UKCBR 2019)

Chair:
Professor Miltos Petridis, Middlesex University

The symposium will be a relatively informal occasion where you can meet CBR colleagues and exchange news, views and opinions as well as learning about the work of other researchers and practitioners.

Session 1 (11.00-12.30):

Dr Stelios Kapetanakis, University of Brighton: Invited Application Talk "Process-oriented CBR through real-world Applications"
Xiaohong Gao (Middlesex University, London, UK) et al., submitted refereed paper "Case-based Reasoning of a Deep Learning Network for Prediction of Early Stage of Oesophageal Cancer"
D.B. Skillicorn (Queen’s University) et al. submitted refereed paper "Case-Based Similarity for Social Robots"

Session 2 (13.15-14.45):

Prof. Miltos Petridis, Middlesex University, Invited Keynote talk: "A 24-year Journey in CBR through applications: Lessons learned"
Cedric Klosa (Exploit Labs UG, University of Hildesheim), et al., submitted refereed paper: "Evaluation of CEBRAS: a Case-Based Reasoning Adversary Emulation System"

Please see the UKCBR webpage for further workshop information.

Sessions 3 and 4 - Stream 1 (15.15-16.45 and 17.00-18.30 Lubbock Room)

Beginners' guide to AI - Download slides (opens in new tab)

Chair:
Professor Adrian Hopgood, University of Portsmouth

This workshop will introduce a wide range of AI tools including neural networks, rules, case-based reasoning, Bayesian updating, fuzzy logic, and genetic algorithms. It will also cover multiagent systems that combine different approaches. Practical applications will be highlighted. The workshop will be useful for newcomers to AI and also for specialists who wish to broaden their AI understanding.

Sessions 3 and 4 - Stream 2 (15.15-16.45 and 17.00-18.30 Peterhouse Lecture Theatre)

Explainable AI - Download slides (opens in new tab)

Chair:
Dr Detlef Nauck, BT Research

This workshop will explore the question of how an AI system can explain its decisions. There are some approaches like LIME and SHAP that analyse at the influence of input features on outputs, but are they really capable of creating explanations that make sense to users of AI systems? What qualifies as an explanation? How can an explanation be grounded within the context of the application an AI system is used for? When are explanations required and when can an AI system be allowed to operate without explainability?

Provisional programme

Session 3 (15.15-16.45):

Detlef Nauck, BT, "Explainable or Interpretable AI?"
Sofia Meacham, Bournemouth University, "AI in Context: domain-related research to the aid"

Session 4 (17.00-18.30):

Clive Spenser, LPA Ltd., "Demonstrating how we leverage machine learning to jump start expert systems"
Miltos Petridis, Middlesex University, "Explainability in process-oriented CBR"

call for papers | paper submission and info for authors | accepted papers
internet access for delegates | walking tour |

sgai-conference@bcs.org.uk