Navigating Cultural Resistance and Advancing Interpretability in AI

This chapter examines the cultural challenges faced by mechanistic interpretability in academia, focusing on the rejection of a crucial workshop at a prominent conference. It also highlights the importance of interdisciplinary collaboration, urging neuroscientists to utilize data from artificial neural networks, and discusses the government's role in advocating for AI interpretability through enhanced regulations.