Sarita Rosenstock (course convener), Pamela Robinson and Mario Guenther will be running a course on philosophy, AI and society during Semester 2, 2021.
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I discussed the pitfalls of over- and underestimating the applicability of modelling results to understanding real world epistemic communities, and how to have an appropriate epistemic attitude towards them.
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I use category theory, the mathematical theory of structure, to illuminate the ways in which mathematical formalisms are used to represent real-world systems.
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This paper examines the epistemic value of using topological methods to study the "shape" of data sets. It is argued that the category theoretic notion of "functoriality" aids in translating visual intuitions about structure in data into precise, computable descriptions of real-world systems.
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I discussed ways in which seemingly value neutral decisions that technology workers make can have major moral implications, and how to think critically and proactively about them.
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We show that "guilt" can stably evolve in the context of an iterated prisoners dilemma despite the existence of "fakers" when apology signals are costly or difficult to fake. The more repeated interactions between agents, the easier it is for guilt to evolve.
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