My intellectual activities span a wide range of issues, almost all centered on the intersections between philosophy, machine learning, and cognitive science. Rather than dogmatic adherence to a single approach, my research engages with the actual problems facing philosophers, technologists, scientists, and policy-makers, and then uses all available techniques and frameworks to try to solve those problems. My work is highly interdisciplinary, drawing from diverse intellectual traditions.
My research falls into four broad themes. First, I have worked extensively on the ethical and societal impacts of AI, machine learning, and data science. Second, I have developed novel machine learning algorithms for causal discovery, and applied those (and other) methods to help solve real-world problems. Third, I have tackled a range of philosophical puzzles, including scientific theories, scientific methodology, and the nature of causation. Fourth, my research in computational cognitive science has focused on causal cognition and cognitive architectures.
Many of my papers are available on this website, subject to standard “fair use” conditions. For papers on my CV that are not available here, please contact me directly by email.