Date: Wednesday 3 May 2017
Venue: West Downs Campus, University of Winchester, Hampshire, UK
Book Online at University of Winchester Events

The Fourth Interdisciplinary Winchester Conference on Trust, Risk, Information and the Law (#TRILCon17) will be held on Wednesday 3 May 2017 at the West Downs Campus, University of Winchester, UK.  The overall theme for this conference will be:

Artificial and De-Personalised Decision-Making: Machine-Learning, A.I. and Drones

The keynote speakers will be Professor Katie Atkinson, Head of Computer Science, University of Liverpool, an expert in Artificial Intelligence and its application to legal reasoning, and John McNamara, IBM Senior Inventor, who will speak on ‘Protecting trust in a world disrupted by machine learning’.

Papers and Posters are welcomed on any aspect of the conference theme.  This might include although is not restricted to:

  • Machine learning and processing of personal information;
  • Artificial intelligence and its application to law enforcement, legal reasoning or judicial decisions;
  • Big Data and the algorithmic analysis of information;
  • Implications of the Internet of Things;
  • Machine based decision-making and fairness;
  • Drone law and policy;
  • Trust and the machine;
  • Risks of removing the human from – or leaving the human in – the process;
  • Responsibility, accountability and liability for machine-made decisions.

The conference offers a best poster prize judged against the following criteria: 1) quality, relevance and potential impact of research presented 2) visual impact 3) effectiveness of the poster as a way of communicating the research.

Proposals for workshops are also welcome.  Workshops offer organisers the opportunity to curate panels or research/scholarship activities on an aspect of the conference theme in order to facilitate interdisciplinary discussion.

This call for papers/posters/workshops is open to academics, postgraduate students, policy-makers and practitioners, and in particular those working in law, computer science & technology, data science, information rights, privacy, compliance, statistics, probability, law enforcement & justice, behavioural science and health and social care.

Abstracts for papers are invited for consideration.  Abstracts should be no more than 300 words in length.  Successful applicants will be allocated 15-20 minutes for presentation of their paper plus time for questions and discussion.

Abstracts for posters are invited for consideration.  Abstracts should be no more than 300 words in length.  Please note that accepted poster presenters will be required to email an electronic copy of their poster no later than a week before the conference.  Accepted poster presenters will also need to deliver the hard copy of their poster to the venue no later than 9am on the date of the conference to enable it to be displayed during the day.

Workshop proposals should summarise the workshop theme and goals, organising committee and schedule of speakers, panels and/or talks.  Proposals should be no more than 500 words.  Workshops should be timed to be 1.5-2 hours in length.

Abstracts and proposals, contained in a Word document, should be emailed to trilcon17@winchester.ac.uk.  Please include name, title, institution/organisation details and email correspondence address.  The deadline for submission of abstracts/proposals is Friday 27 January 2017.  Successful applicants will be notified by 17 February 2017.  Speakers/poster presenters/workshop organisers will be entitled to the early registration discounted conference fee of £80 and will be required to book a place at the conference by 28 February in order to guarantee inclusion of their paper/poster/workshop.

Speakers will be invited to submit their paper for inclusion in a special edition of the open access eJournal, Information Rights, Policy & Practice.

To book a place at the conference, please click here to visit the Winchester University Store and click on academic conferences.

For more information, please contact the conference team at trilcon17@winchester.ac.uk