Description
Eivor Oborn, Ph.D.
Professor of Healthcare Management
University of Warwick
A Relational Perspective on AI Risk: Organising for the Future of Smart Technologies
In this presentation, I will build on recent collaborative work to develop a relational perspective on risk in order to discuss the duality of AI risk around its potential benefit and potential harm. I will connect to the themes of data poverty, bias and marginalization and its implications for using AI in practices such as healthcare and medical work. Algorithmic bias arises as a direct function of the quality of the data that the AI algorithms are trained on and hence might be most beneficial for those populations where there is access to training data. Such algorithmic bias can have important implications for reshaping diversity, inclusion as well as marginalization. Drawing examples in specialist eye (ophthalmology) care I will discuss how the social construction of risk influences the way technology such as AI might become used in practice. This is particularly paramount when multiple risks become interlinked, understood as a landscape of risk. I suggest that adopting a risk perspective in understanding how emerging digital technologies such as AI become reimagined in the light of ongoing risk assessments is particularly important in the current context of multiple crises and global disruptions, coupled with technologies that have generative but unknown effects.
Biography
Eivor Oborn is a Professor of Healthcare Management in the area of Innovation and Organisational Change at Warwick Business School, UK. She earned her Ph.D. at Cambridge Judge Business School, the University of Cambridge in 2006 and is currently an honorary Fellow at Cambridge Judge Business School and Fellow at the Cambridge Digital Innovation Centre (CDI). Oborn is a senior editor at Information Systems Research and has published work in leading journals, including the Academy of Management Journal, Organization Science, Information Systems Research and MISQ. Her scholarship has won numerous awards including a best-published paper from the American Medical Informatics Association (AMIA) and Academy of Management (AOM). Her research interests span the fields of healthcare, online communities, digital innovation & ICTs, as well as entrepreneurship in ecosystem contexts.
A Relational Perspective on AI Risk: Organising for the Future of Smart Technologies with Eivor Oborn, Ph.D.
Location
Zoom Meeting
Online Location
Category:
Campus Events
