Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare
The need for AI systems to provide explanations for their behaviour is now widely recognised as key to their adoption. In this paper, we examine the problem of trustworthy AI and explore what...
Trustworthy AI: UK Air Traffic Control Revisited
Exploring the socio-technical challenges confronting the adoption of AI in organisational settings is something that has so far been largely absent from the related literature. In particular,...
Trust, Professional Vision and Diagnostic Work
In this paper we consider some empirical materials from our ongoing research into forms of everyday detection and diagnosis work in healthcare settings, and how these relate to issues of trust;...
Accounts, Accountability and Agency for Safe and Ethical AI
We examine the problem of explainable AI (xAI) and explore what delivering xAI means in practice, particularly in contexts that involve formal or informal and ad-hoc collaboration where agency and...
Supporting the use of user generated content in journalistic practice
Social media and user-generated content (UGC) are increasingly important features of journalistic work in a number of different ways. However, their use presents major challenges, not least...
Microblog Analysis as a Programme of Work
Inspired by a European project, PHEME, that requires the close analysis of Twitter-based conversations in order to look at the spread of rumors via social media, this paper has two objectives. The...