CMU’s Philosophy PhD is globally renowned for formal epistemology, decision theory, and AI ethics. Doctoral scholars prove theorems in type theory, analyze social-choice paradoxes, and consult on algorithmic bias with technologists. Teaching fellowships develop pedagogy, while public-engagement grants support philosophy-in-schools and policy advisory projects.
Formal verification of probabilistic argumentation frameworks
Value-alignment analysis of autonomous-weapon norms via Just-War Theory
Decision-theoretic investigation of infinite-utility Pascalian wagers
Logical pluralism study contrasting substructural logics in reasoning AI
Experimental philosophy survey on folk intuitions about algorithmic blame
Modal logic semantics for counterfactual explanations in ML models
Comparative ethics of data colonialism and historical imperial trade
Bayesian model of scientific theory change incorporating network effects
Workshop series on indigenous epistemologies and climate justice
Proof-assistant curriculum integrating category theory for undergrads
Policy white paper on transparency obligations for generative-AI outputs
Metaphysical analysis of virtual reality experience authenticity
Game-theoretic exploration of cooperation in information-ecosystem commons
Dialectical map of precautionary principles in AI safety debates
Interactive app visualizing paradoxes in belief revision
Advance rigorous reasoning and ethics research at CMU Philosophy.
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