David Thorstad

What is the relationship between inquiry and epistemology? Are epistemic norms the norms that guide us as inquirers—as agents in the pursuit of knowledge and understanding? Recently, there has been growing support for what I, following Friedman (Philosophical Review 129(4):501–536, 2020), will call the zetetic turn in epistemology, the view that all epistemic norms are norms of inquiry. This paper investigates the prospects of an inquiry-centered approach to epistemology and develops several motivations for resisting it. First, I argue that the norms of inquiry are most plausibly seen as practical, not as distinctively epistemic. Second, I argue that a zetetically-grounded epistemology is unable to properly account for the rationality of belief. It fails to account for cases where intuitively irrational beliefs promote inquiry, or where intuitively rational beliefs are zetetically useless or counterproductive to inquiry. The main upshot is this: there must be a source of epistemic normativity that isn’t ultimately zetetic.

Deep learning is currently the most prominent and widely successful method in artificial intelligence. Despite having played an active role in earlier artificial intelligence and neural network research, philosophers have been largely silent on this technology so far. This is remarkable, given that deep learning neural networks have blown past predicted upper limits on artificial intelligence performance—recognizing complex objects in natural photographs and defeating world champions in strategy games as complex as Go and chess—yet there remains no universally accepted explanation as to why they work so well. This article provides an introduction to these networks as well as an opinionated guidebook on the philosophical significance of their structure and achievements. It argues that deep learning neural networks differ importantly in their structure and mathematical properties from the shallower neural networks that were the subject of so much philosophical reflection in the 1980s and 1990s. The article then explores several different explanations for their success and ends by proposing three areas of inquiry that would benefit from future engagement by philosophers of mind and science.