After Turing: How Philosophy Migrated to the AI Lab

What happens to philosophy when philosophical activities migrate to the AI lab? My article explores the philosophical work that has gone into the machine simulations of language and understanding after Alan Turing. The early experiments by AI practitioners such as Karen Spärck Jones, Richard Richens, Yorick Wilks, and others at the Cambridge Language Research Unit (CLRU) led to the creation of the machine interlingua, semantic networks, and other technological innovations central to the development of AI in the 1950s–1970s. I attempt to show how, in the midst of their computational work, the CLRU pioneers engaged with Ludwig Wittgenstein, Ferdinand de Saussure, Rudolf Carnap, and other philosophers and developed startling new ways of formulating fundamental questions about language and human understanding. More significantly, their philosophical activities on the machine present an inclusive and culturally diverse picture of the world that profoundly negates the ethnocentric metaphysics of human-machine conundrums that John Searle and his critics represent in the Chinese Room debate. The familiar legacy of that debate has long distorted the narrative of AI origins through its simultaneous reiteration and repudiation of the Turing test. My study seeks to clarify those origins, but my primary goal is to demonstrate what it is like to practice philosophy on the machine and how the critique of metaphysics is made possible in the AI lab.