Chapter 09 · Sustainability & AISustainability & AI
Conservation AI
Definition
The use of AI tools — image recognition, acoustic analysis, predictive modelling — in wildlife protection, habitat management and anti-poaching operations.
References
This source provides part of the technical or institutional basis for the definition.
This source supports the explanation of how the term is applied, measured or governed in practice.
Overview
What it means
Conservation AI packages computer vision and prediction for field realities: camera traps that filter empty images on-device, platforms that aggregate and classify global trap data (Wildlife Insights), and models that predict poaching risk to guide ranger patrols.
How it is used
Protected-area authorities, NGOs and research programmes integrate these tools into monitoring and enforcement. Edge deployment matters: reserves often lack power and connectivity, so compact models on low-power hardware do the frontline work.
Why it matters
Rangers and ecologists are chronically outnumbered by the scale of the task. Conservation AI multiplies their observational reach — provided tools are designed with field practitioners, not merely donated to them, and their alerts are validated before enforcement action.