معرفی
Dr. Eleanor Mill is a Postgraduate Research Student in the Department of Business Analytics and Operations at the University of Surrey. She serves on the University Ethics Committee and focuses her research on human-AI collaboration in fraud strategy, emphasizing transparency in financial decision-making and ethical AI applications. Her work bridges technical AI advancements with societal and regulatory imperatives.
Education:
- BSc Mathematics, University of East Anglia (1996)
- MSc Business Analytics, University of Surrey (2015)
Research Interests: Eleanor’s research centers on explainable artificial intelligence (XAI), fraud detection, and AI sustainability. She develops frameworks like SAGE to enhance context-aware explanations for AI models and explores paradox theory to address ethical and environmental tensions in AI systems. Her work prioritizes real-world efficacy and human oversight in high-stakes decision-making environments.
Publications: Eleanor has published extensively on XAI applications, fraud detection methodologies, and AI’s societal impacts. Recent work includes the SAGE framework for context-sensitive explanations and analyses of AI’s energy-accuracy paradox.
Advising & Grants: Supervised by Wolfgang Garn and Nick Ryman-Tubb, Eleanor’s research is supported by Surrey’s Business Analytics group. No grant details are explicitly listed in the text.
