Sharon Sitters is a Lecturer and Researcher specialising in the implementation of artificial intelligence in clinical settings. Her work examines how health professionals develop calibrated trust, critical engagement, and safe practices when using explainable AI tools, with a focus on mixed methods, human-centred evaluation approaches.
She also investigates the organisational and workforce conditions that support effective AI integration, including implementation design and strategies, alongside a secondary interest in how policy environments influence responsible adoption of AI in healthcare systems. Sharon is an experienced health professional and holds a Master’s degree in Global Health Policy from the London School of Hygiene and Tropical Medicine.
Research links:
Sitters, S., O'Callahan, K., O'Callahan, M., Senior-Partridge, A., and Kirtley, M. “Trust Dynamics in Explainable AI: An Experimental Study of Prescriptive vs Descriptive Explanations for Young Healthcare Professionals.” Preprint Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6205302
Sitters, S., O'Callahan, K., O'Callahan, M., Petersen, M., Sicily, L. “Evaluating the impact of artificial intelligence-driven self-rostering: A dual-site pilot in medical imaging.” Radiography (London, England : 1995) vol. 31,6 (2025): 103150. https://doi.org/10.1016/j.radi.2025.103150
O'Callahan, K., Sitters, S., Petersen, M. “'You make the call': Improving radiology staff scheduling with AI-generated self-rostering in a medical imaging department.” Radiography (London, England : 1995) vol. 30,3 (2024): 862-868. https://doi.org/10.1016/j.radi.2024.03.014
