Projects
CHaT investigates how emerging technologies influence science, medicine, and society — emphasizing humanities perspectives for creating AI that is explainable, ethical, and trustworthy.
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AI, Trust, and the Body
Investigates whether AI models adequately explain human cognition without neglecting the body's role. Drawing from philosophy, cognitive science, and phenomenology, this project questions whether artificial intelligence can genuinely represent embodied human experience.
AI embodied cognition philosophy cognitive science phenomenology trust - →Active
Explainability and Rhetoric in Medical AI
Studies transparency and ethics in healthcare AI applications including diagnosis, treatment recommendation, and patient communication. Addresses fairness, bias, and communication challenges in medical AI, with particular attention to vulnerable patient populations.
AI healthcare explainability medical ethics fairness bias rhetoric - →Active
Trusting AI-Driven Science
Examines how artificial intelligence reshapes scientific credibility, discovery, and explanation, with a particular focus on chemistry, physics, and materials science. Addresses whether AI-assisted science can be trusted and how AI tools influence data analysis and the processes of scientific discovery.
AI trust philosophy of science chemistry physics materials science