  In discussions about the development and governance of AI, a false binary is
often drawn between two groups: those most concerned about the existing, social
impacts of AI, and those most concerned about possible future risks of powerful
AI systems taking actions that don't align with human interests. In this piece,
we (i) describe the emergence of this false binary, (ii) explain why the
seemingly clean distinctions drawn between these two groups don't hold up under
scrutiny and (iii) highlight efforts to bridge this divide.
