AI safety systems are frameworks and practices designed to ensure that technology operates as intended, without causing unintended harm or displaying undesirable behaviors. These systems are crucial in guarding against risks associated with unforeseen actions or decisions that technology might autonomously make. Related areas include incorporating fail-safes, monitoring, and testing environments to assess potential interactions and consequences in real-world settings.