AI-2023 Forty-third SGAI International Conference on Artificial Intelligence
CAMBRIDGE, ENGLAND 12-14 DECEMBER 2023


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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:
Professor Jeremy Wyatt, University of Southampton, UK

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:
Dr Giovanna Martinez-Arellano, University of Nottingham, UK

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:
Dr Peter Lane, University of Hertfordshire, UK and Prof. Fernand Gobet, London School of Economics, UK

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:

  1. Introduction to Computational Scientific Discovery in Social Sciences
  2. Tutorial of the GEMS(*) system, covering:
    • setting up task definitions for scientific experiments
    • defining a search space of candidate models
    • searching techniques, such as Genetic Programming.
    • visualisation and analysis of results
  3. Examples of applying this and related methodologies in Psychology and Social Sciences
(*) GEMS - Genetically Evolving Models of Science - is a computational discovery system. Details of the project are at: https://gems-science.netlify.app (opens in new tab)

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

Testing AI

Chairs:
Dr Carl Adams, Mobi Publishing, Chichester, UK and Dr Anita Khadka, North Eastern University, London, UK

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:

  • Part one: Challenges
    1. Challenges of testing systems and software
    2. Challenges of AI testing
    3. Insights from software testing; safety critical systems testing
  • Part two: Insights from AI testing research project
    1. Generic approaches to testing AI
    2. Affordances mapping (AM), bounds of applicability (BoA), and temporal modelling (TM) approaches
    3. Six brief case examples; an in-depth case study
  • tea break
  • Part three: Application to case example
    This element of the workshop will be focussed around applying AM, BoA and TM around a case study. It will also explore other approaches to testing AI for the case study example.


AI-2023 Forty-third SGAI International Conference on Artificial Intelligence
CAMBRIDGE, ENGLAND 12-14 DECEMBER 2023


home | schedule | technical stream | application stream | poster sessions
workshops | proceedings | exhibition | registration | sponsors | organisers
enquiries | social | visa info | venue | accommodation | panel session | short paper presentations
ai open mic | information for speakers | previous conferences | letter of invitation
call for papers | paper submission and info for authors | accepted papers
internet access for delegates

BCS