Decision-making under uncertainty involves choosing actions based on incomplete information and unpredictable outcomes, often requiring probabilistic reasoning and risk assessment. It is crucial in fields like economics, management, and artificial intelligence, where decisions must account for variability and unknowns to optimize results.