Workshop Programme

Practical Aspects of Developing AI-based Systems

Workshop in conjunction with AI-2003, the 23rd Annual International Conference of the BCS Specialist Group on Artificial Intelligence

www.bcs-sgai.org/ai2003/
http://www.ai-research.org.uk/html/ai-2003_workshop.html

Date:                15 December 2003
Time:               1400 – 1730
Location:           Peterhouse, Cambridge

Overview

A workshop exploring practical issues in developing and fielding AI-based systems. The workshop forms part of a wider piece of non-commercial research that aims to capture best practice in the development and fielding of AI-based systems. It will aim to bring together those with practical experience of AI-based systems deployment, to identify lessons that will be useful for developers in the future.

Programme

(All timings apart from the start approximate!)

1400

Introduction(s)

Workshop overview and identification of key questions to be answered – Richard Ellis

1415 – 1545

Paper Presentations and discussions

A series of three presentations, looking at practical issues from different viewpoints. Thirty minutes has been allocated to each speaker for their presentation and an open discussion on topics they raise.

Knowledge Management for Clinical Practice: A Feasibility Study – John Kingston, Joseph Bell Centre for Forensic Statistics & Legal Reasoning, University of Edinburgh

An overview of a feasibility analysis undertaken to explore the business case for developing a medical knowledge based system, including an assessment of how difficult it would be to construct the system, and what steps would need to be taken to introduce it into routine use and to maintain its knowledge base.

Why Expert System and Neural Network Techniques have failed in Manufacturing Diagnosis Applications – Dr Rajesh Ransing, University of Wales Swansea

An exploration of the suitability (and unsuitability) of AI techniques for developing fault diagnosis applications in the manufacturing domain.

Climbing Everest – Commercialising Neural Networks – Dr Emma Braithwaite, Product Manager, Oxford Biosignals

Pitfalls, challenges and lessons for commercialising AI based systems, learnt from the practical (and successful) development of Neural Networks based products in Oxford BioSignals.

1545 - 1600

Break for tea/coffee

1600 – 1715

Group Discussion

A semi-structured discussion, aimed at answering the key questions, and identifying lessons and best practice that could be used by those developing AI based systems

1715 – 1730

Future Plans

A brief discussion of how the workshop output could be best disseminated and suggestions for further work in this domain

1730

Close

Adjourn to the bar to prepare for the AI-2003 welcome reception.

Organiser

Richard Ellis
Director, Stratum Management Ltd

richard @ai-research.org.uk
richard.ellis@stratum-management.co.uk

Tel: +44 (0) 1962 774 961
Fax: +44 (0) 8700 522 442
Mobile: +44 (0) 7973 229 685