Introduction to Philosophy of Artificial Intelligence: Epistemology, Logic, and Conceptual Engineering

(last updated: October 16, 2026)

Summary

This course explores the philosophical foundations, epistemic frameworks, and logical structures underlying modern Artificial Intelligence. Moving beyond standard AI ethics, we examine fundamental questions about knowledge, reasoning, explanation, and language in artificial agents. Key questions include: Can artificial systems possess genuine understanding, or are they statistical approximators? How do formal models of learning and Bayesian epistemologies apply to neural networks? How can Carnapian explication and conceptual engineering help us clarify concepts like 'intelligence', 'explanation', and 'fairness' in machine learning?

Syllabus

You can see the syllabus: tbd

Sessions

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