Alan Gillies
Papers
1
Total Citations
14
H-Index
1
About
Alan Gillies is a prominent researcher at the intersection of artificial intelligence, healthcare ethics, and professional decision-making. His work critically examines the ethical frameworks necessary for AI systems to operate responsibly in high-stakes clinical environments, particularly focusing on how these technologies can align with the moral and professional obligations of healthcare practitioners. His most-cited paper, "Can AI systems meet the ethical requirements of professional decision-making in health care?" (2021), has garnered 14 citations, reflecting its timely and provocative challenge to the AI community. In this work, Gillies argues that current AI models often lack the nuanced understanding of context, empathy, and accountability required for ethical clinical judgments, proposing a hybrid approach that integrates human oversight with machine learning. His contributions have sparked important dialogue on the limits of automation in medicine, influencing both academic discourse and practical guidelines for AI deployment. Gillies’ research is essential reading for students and professionals navigating the ethical complexities of AI in healthcare, offering a rigorous yet accessible critique that bridges technical development and moral philosophy.
Research Focus
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Top Papers
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