A system built to perform a specific task or narrow range | AIGP
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A system built to perform a specific task or narrow range: In generally accepted AI terminology, which

AIGP Understanding the Foundations of AI Governance Easy

Narrow (weak) AI is defined by its limited task scope and inability to generalize across domains.

The question

In generally accepted AI terminology, which description best characterizes 'narrow AI' (also called weak AI)?

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  1. A system built to perform a specific task or narrow range of tasks, lacking general cross-domain ability. ✓
    Correct: narrow/weak AI is scoped to defined tasks (e.g., translation, image classification) and does not generalize across arbitrary domains.
  2. A system that matches or exceeds human intelligence across virtually any intellectual task and domain.
    Plausible but wrong: this describes artificial general intelligence (AGI), a broader hypothetical capability, not narrow AI.
  3. A system that recursively self-improves beyond human oversight, comprehension and meaningful control.
    Plausible but wrong: this describes speculative superintelligence, not the task-bounded systems in use today.
  4. A rules-based expert system that encodes its entire domain knowledge only as explicit if-then production rules.
    Plausible but wrong: symbolic expert systems are one technique, but narrow AI is defined by task scope, not by being rules-only.
The trap
Assuming 'narrow AI' refers to a particular technique (rules/expert systems) rather than to task scope.

How to remember it

Narrow (weak) AI is defined by its limited task scope and inability to generalize across domains.

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