Sustainability & AI
Narrow AI
AI designed for a specific task, in contrast to AGI; all AI systems in current sustainability use are narrow.
Definition
AI designed and trained to perform a specific task or a limited set of tasks, in contrast to hypothetical general intelligence.
Quick reference
At a glance
- Subject
- Sustainability & AI
- Editorial status
- Editorial draft
- Definition status
- Established
- Last updated
- 21 August 2026
References
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Overview
What it means
All deployed AI — from a deforestation classifier to a large language model — is narrow in the technical sense: capable within its domain, unable to transfer that competence broadly without adaptation. The term keeps expectations honest about what today's systems are.
How it is used
In sustainability applications, narrow systems do the practical work: forecasting solar output, reading metres, flagging methane plumes. Even general-purpose models are applied through narrow deployments with defined inputs, outputs and failure modes.
Why it matters
The narrow-versus-general distinction protects decision-makers from over-trusting systems outside their validated scope — a discipline that matters when AI outputs feed environmental compliance, safety or investment decisions.
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