Chapter 09 · Sustainability & AISustainability & AI

Autonomous system

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Definition

A system that performs tasks or makes decisions without continuous human control, operating within the parameters and objectives set for it.

References

SAE InternationalJ3016 — Taxonomy of driving automation levels

This source provides part of the technical or institutional basis for the definition.

Google DeepMindSafety-first AI for autonomous data-centre cooling (2018)

This source supports the explanation of how the term is applied, measured or governed in practice.

Overview

What it means

Autonomy is graded, not binary — standards such as SAE J3016 formalise levels for vehicles, and similar thinking applies to drones, robots and self-optimising industrial equipment. Higher autonomy expands capability but also the consequences of error.

How it is used

Sustainability applications include survey drones for forests and coastlines, autonomous environmental sensors, and self-optimising control of energy systems — Google's reported use of autonomous control for data-centre cooling being a prominent example.

Why it matters

Autonomous systems extend monitoring and optimisation into places and timescales humans cannot cover. They also shift responsibility upstream: once control is delegated, safety cases, fail-safes and audit trails become the real governance object.

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Meaning status
Established
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Last updated
21 Aug 2026
What the classifications mean

Meaning status: Established

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