What is one primary feature of Artificial Narrow Intelligence (ANI)?

The primary feature of Artificial Narrow Intelligence (ANI) is its operation under a narrow set of constraints. ANI is designed to perform specific tasks or solve particular problems within predefined parameters. This means that while ANI can execute its designated functions with high efficiency and accuracy, it does not possess the ability to extend its capabilities beyond the tasks it was programmed for. For example, systems such as recommendation algorithms or voice assistants are designed to handle specific functions without the flexibility or general problem-solving abilities of Artificial General Intelligence (AGI).

In contrast, the other options represent characteristics that do not align with what defines ANI. A feature designed for a wide range of tasks suggests a level of generality and adaptability that ANI does not possess. Exhibiting human-like emotional intelligence is more aligned with advanced AI that can interpret and respond to emotional cues, which is beyond the scope of ANI's capabilities. The ability to self-learn without data implies a level of autonomy and adaptability that is indicative of more advanced AI systems, rather than the focused nature of ANI, which relies on existing data for training and operational purposes.