This paper explores how competitive pressure in AI development influences safety choices. Through a behavioral experiment and an evolutionary model, it demonstrates that unsafe development is primarily driven by fear of falling behind and strategic responses to competitors, rather than individual risk preferences alone.

This paper introduces an active inference computational framework for empathy in AI agents, enabling explicit perspective-taking through a self-other model transformation. It demonstrates that empathic perspective-taking can induce robust cooperation in strategic dilemmas like the Iterated Prisoner's Dilemma, highlighting empathy as a structural prior for socially aligned AI.