Fuzzy logic is an extension of traditional Boolean logic, dealing with reasoning that is approximate rather than exact. In AI, it’s used to handle uncertainty and imprecision, allowing for more flexible and realistic decision-making, especially in systems like control systems, expert systems, and robotics, where not everything is binary.