UAI (Uncertainty in Artificial Intelligence)

UAI, or Uncertainty in Artificial Intelligence, refers to how AI systems handle incomplete or ambiguous information. Just like humans, AI often faces situations where data is uncertain, noisy, or unclear. UAI techniques enable these systems to assess and manage this uncertainty, making informed decisions even with imperfect information. This involves probabilistic models and reasoning methods that quantify confidence levels, helping AI systems weigh different possibilities and select the most appropriate actions. Ultimately, UAI improves the reliability and robustness of AI, especially in complex, real-world scenarios where perfect data is rarely available.