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.
What it triggers
- Uzbekistan's Strategy for the Development of Artificial Intelligence Technologies until 2030 distinguishes narrow AI from more advanced systems to guide sector-specific adoption and implementation.source
- Bangladesh's National Strategy for Artificial Intelligence sets out narrow AI in the context of guiding responsible AI adoption across priority sectors.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.
Not to be confused with
General AI refers to theoretical systems capable of performing any human intellectual task with flexible reasoning across domains, unlike narrow AI's limitation to specific tasks.
General-Purpose AI Model is an AI model trained at scale for competent performance across many distinct tasks, contrasting narrow AI's focus on limited, specific functions.
Questions and answers
How does Uzbekistan distinguish narrow AI in its strategy?
Uzbekistan's strategy defines narrow AI as applications for particular, well-defined tasks with focused capabilities, distinguishing it from advanced systems to guide sector-specific adoption. This supports targets like establishing AI research labs.
In what contexts do these strategies use narrow AI?
Uzbekistan uses it to guide sector-specific AI adoption in its national strategy. Bangladesh employs it to outline responsible AI in priority sectors per its national strategy.
Related Terms
General AI
Theoretical AI systems capable of performing any intellectual task a human can, with flexible reasoning across domains....
Artificial Intelligence System
A machine-based system designed to operate with varying levels of autonomy, capable of learning and adapting to perform tasks that typically require human intelligence....
General-Purpose AI Model
An AI model trained at scale that displays significant generality and can competently perform many distinct tasks and be integrated into varied downstream systems....