Rational belief change
Rationality is tested most when revision is costly. My early research develops pragmatist and decision-theoretic models of belief change. I analyze how agents can rationally revise commitments under uncertainty using principles of coherence, risk, and value. The contribution is a framework that treats belief revision as an accountable practical choice, not just a logical update.
Scientific method
Methods answer questions. I study how scientific methodologies shape both results and relevance. This work connects philosophy of science with ethics and psychology, showing how narrow operational frameworks can distance inquiry from human well-being and lived complexity.
Methodological rigor can coexist with conceptual stagnation. In Waiting for Einstein: Change and Crisis in the Mind Sciences (with Shahar Gindi), I critique psychology’s overreliance on restrictive quantitative paradigms. We argue for a broader model that integrates empirical discipline with clinical insight, ethical responsibility, and humanistic perspective.
AI and the limits of algorithmic mind
AI scales our models, including their mistakes. My current research project examines how algorithmic systems inherit reductionist assumptions about cognition and decision-making. I develop a human-centered framework grounded in tacit knowledge, judgment, and moral responsibility to guide responsible AI development.