Rules

Description: Rules in the context of explainable AI refer to guidelines or principles that dictate how an artificial intelligence model should behave or how decisions should be made within a system. These rules are essential to ensure that AI models operate transparently and understandably, allowing users to comprehend the reasoning behind automated decisions. Rules can be used to define specific behaviors in various systems, such as automating tasks or personalizing user experiences. The implementation of rules in these contexts aims to enhance the interaction between humans and machines, ensuring that decisions are fair, ethical, and aligned with user expectations.

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