What differentiates Broad Artificial Intelligence from Artificial Narrow Intelligence?

The distinction between Broad Artificial Intelligence (BAI) and Artificial Narrow Intelligence (ANI) lies primarily in the scope of their tasks and functional capabilities. Broad AI encompasses systems that can perform a wide array of tasks across various domains, akin to a human's cognitive abilities. This means that Broad AI can generalize its learning and apply it dynamically to new, unseen situations, demonstrating adaptability and versatility.

In contrast, Artificial Narrow Intelligence is designed for specific tasks and operates within a limited set of constraints. These systems excel in their designated functions but lack the ability to transfer their learning to other contexts or perform outside their programmed capabilities. While ANI is highly effective in its narrow limits, it does not possess the broader problem-solving abilities and flexibility of Broad AI.

By focusing on the versatility and broader operational capacity of Broad AI as compared to the confined utility of ANI, the answer accurately highlights the fundamental differentiation between the two types of artificial intelligence.