Injecting memories into AI involves deliberately embedding specific information or narratives into the system’s retained context or long-term storage, shaping how it responds in future interactions. This process can be used positively, such as personalizing user experiences by teaching the AI about preferences, histories, or ongoing tasks. However, it can also pose risks if manipulated for malicious purposes, like planting biased or false information to influence the AI’s behavior or decisions. Memory injection requires precise management of what is stored and how it is validated, ensuring that the AI maintains an accurate, ethical, and useful understanding of its interactions while guarding against exploitation or unintended consequences.