A Hundred Thousand Lousy Cats (exploring drawing, AI and creativity)

This paper introduces a practice-led project that uses the Google Quick, Draw! project and dataset to explore the potential differences of algorithmic machine or digitally constructed drawings, and fictional associative hand-drawings. The authors use both digital 20-second sketching (the rule set for the Quick, Draw! Project) and more elaborate drawings and collages to then analyse and speculate about the results of these types of visualisations. At this phase of research it seems obvious to label and move the machine drawing to the reductive, the handdrawn to the more complex and associative realm but we seek to unpack this binary. Artificial intelligence and machine-learning are producing a wealth of creative projects, we select a couple of case studies to speak to particular visual artefacts that derive from algorithmic processing. For instance, the (IBM AI) Watson-composed film trailer for Morgan is considered as a creative artefact and looked at for its apparent allure and effect on a creative process. Through this inquiry we contemplate surprises and mistakes that come naturally when producing hand-made works, exploring then, what it means to draw and to work within classification systems in an algorithm-leaning world

Reasons for the Failure of Incident Reporting in the Healthcare and Rail Industries

Incident reporting systems have recently been established across the UK rail and healthcare industries. These initiatives have built on the perceived success of reporting systems within aviation. There is, however, a danger that the proponents of these schemes have signi#cantly over-estimated the impact that they can have upon the operation of complex, safety-critical systems. This paper, therefore, provides a brief overview of the problems that limit the utility of incident reporting in the the rail and healthcare industries