6 citations · 12 across the 6 of their papers we have counts for
6 papers
Trustworthy AI: UK Air Traffic Control Revisited
Rob Procter, Mark Rouncefield
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…
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare
Rob Procter, Peter Tolmie, Mark Rouncefield
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 e…
Trust, Professional Vision and Diagnostic Work
Mark Rouncefield, Rob Procter, Peter Tolmie
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 iss…
Accounts, Accountability and Agency for Safe and Ethical AI
Rob Procter, Mark Rouncefield, Peter Tolmie
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…
Supporting the use of user generated content in journalistic practice
Peter Tolmie, Rob Procter, David William Randall +5
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,…
Microblog Analysis as a Programme of Work
Peter Tolmie, Rob Procter, Mark Rouncefield +2
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…