👉 In the context of artificial intelligence (AI), "underspecified" refers to a situation where an AI system is unable or unwilling to provide a specific output. This could be due to a lack of sufficient data, complex decision-making processes, or limitations in the model's ability to capture complex patterns and relationships. For example, consider an AI algorithm that is designed to play chess. If the AI does not have enough information about the positions of pieces on the board, it may struggle to predict which piece
