⁶Causality is a topic of great current interest in AI (Pearl, 2009; Peters et al., 2017; Gershman, 2017). However, the meaning of the term in AI is a bit different, and in particular, very specific: It is more about the difference between correlation and causality, and how an agent could learn that difference. In AI, understanding such causality will enable the agent to act more efficiently, increase its control of the world and the rewards it obtains, as well as better predict the rewards. In contrast, in Buddhism, understanding causality is about admitting the determinism of the world and minimizing the control of the agent and free will. Eventually, both these two kinds of “understanding causality” may reduce suffering in their own ways. Briefly, the AI kind of understanding means that you can find the optimal actions, while the Buddhist understanding means appreciating how little reward even those optimal actions bring.