philosophy-of-ai
The iterative evolution of artificial intelligence (from symbolic to generative AI) poses fundamental philosophical challenges to the “essence of intelligence,” “concept of subject,” and “human-machine relationship.” Traditional philosophy of artificial intelligence, whether computationalist or representationalist, falls into the monistic trap of “unified reduction”: either equating intelligence …
Contemporary intelligent systems (artificial intelligence, autonomous driving, quantum computing) are generally trapped in ontological dilemmas of “optimal yet fragile,” “inadequate security,” and “isolation not feasible.” Based on Dao-Er philosophy, this paper proposes a unified ontological structure of “One (structural invariance)—Two (dyadic coupling)—Three (dynamic equilibrium)” to provide a …
Despite teaching Alan Turing, shaping the philosophical orientation of an earlier generation of AI critics, and, as Lydia Liu (2021) has recently shown, providing the philosophical foundation for one of the earliest research programmes in computational linguistics, Ludwig Wittgenstein is largely absent from contemporary debates about Artificial Intelligence. This paper surveys his influence and a…
