Uncertainty in AI

Uncertainty in AI refers to the limitations in an AI system's ability to predict or understand outcomes due to incomplete information, ambiguous data, or inherent variability in the environment. Just like humans can make mistakes or feel unsure when faced with unclear situations, AI models can also struggle to provide accurate answers or decisions. This uncertainty can arise from different sources, such as the data used to train the AI or the complexity of the problems it tries to solve. Understanding these limitations is crucial for evaluating AI's reliability in real-world applications.