Technical

Narrow AI

AI systems designed and trained for specific, limited tasks, as opposed to general-purpose artificial intelligence.

How the laws define this

Both instruments agree that narrow AI refers to systems or applications built to perform specific, well-defined tasks with focused capabilities within a limited domain, rather than demonstrating broad cognitive powers. Each framework explicitly sets narrow AI apart from more advanced or general artificial intelligence concepts. Their primary divergence lies in how they conceptualize the nature of these tasks and the policy goals behind the classification. The National Strategy for Artificial Intelligence: Bangladesh characterizes narrow AI as performing tasks that require human-like cognitive functions, explicitly citing perception, classification, and decision-making, while contrasting it against general or superintelligent AI. Conversely, the Strategy for the Development of Artificial Intelligence Technologies until 2030 focuses on distinguishing narrow AI from advanced systems without referencing human-like functions or superintelligence, explicitly noting that this distinction is designed to guide sector-specific adoption and implementation.

Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.

Definitions (2)

AI systems that perform specific, narrowly defined tasks requiring human-like cognitive functions (e.g., perception, classification, decision-making) within a limited domain, as opposed to general or superintelligent AI.

Narrow AI denotes artificial intelligence applications designed to perform particular, well-defined tasks or functions with focused capabilities rather than broad cognitive abilities. The strategy distinguishes narrow AI from more advanced systems to guide sector-specific adoption and implementation.