The history and philosophy of artificial intelligence has some surprisingly useful nuggets in it that orbit the question: Is human intelligence "real"? What is it?
I talk about the two previous cycles of AI hype and collapse into "AI winter" first in the 1960s and then in the 1980s. In the former, academic philosophers like Hubert Dreyfus brought interesting critique orbiting around issues like misunderstanding of human consciousness (in a sense still our only available prototype for AI) and how difficult it is to separate what we understand as intelligence in ourselves from the visceral desires that come from our body. I would say these criticisms anticipated the use of reinforcement learning, among other things, and they might have more practicality in them than you might think.