⁸Causality 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 perceived control of the agent. Eventually, both these two kinds of “understanding causality” may reduce suffering in their own ways. Briefly, understanding causality in the AI sense means that you can find optimal actions and increase rewards, while the Buddhist understanding means appreciating how little reward even those optimal actions bring, thus reducing expectations.