This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: As workplaces around the world wrestle with integrating artificial intelligence into their operations, researchers and rangers in the heart of West Arnhem are successfully embracing this technology in conservation without compromising respect and knowledge. Recent research from Warddeken Land Management, Charles Darwin University (CDU) and the Commonwealth Scientific and Industrial Research Organization (CSIRO) explored how AI could be applied to Indigenous-led community-based monitoring (ICBM).
The collaboration focused on incorporating AI into the Mayh (animal) wildlife program, an ICBM initiative. "Reimagining artificial intelligence applications for Indigenous-led community-based wildlife monitoring: Insights from biodiversity surveys in the Warddeken Indigenous protected area in northern Australia" was published in the journal Conservation Science and Practice. The Mayh program, which covers the Warddeken Indigenous Protected Area in West Arnhem, aims to understand how land management practices affect key mayh of cultural and conservation concern in the region.
The program uses camera traps for monitoring and provides meaningful employment and opportunities for involvement for traditional owners and bininj (male) and daluk (female) rangers. Following extensive consultation on implementation and safeguards, the AI animal-detecting model MegaDetector was fed 1,572 hours of data collected by daluk and bininj rangers. MegaDetector reduced the number of images needing analysis from 925,088 to 172,290—an 81.4% reduction—shortening the processing time from six months to two months.
It also reduced the average time spent on data processing from 52.6 hours to 41.8 hours every two weeks. With less time spent on image processing, overall engagement in land management increased, and more attention was devoted to species identification. Rangers also reallocated time to language documentation, developing resources such as poster reports, newsletters and videos, and delivering workshops.
Warddeken Land Management ecological monitoring officer and CDU Northern Institute postdoctoral researcher Dr. Cara Penton said the priority was protecting local voices, knowledge and jobs and empowering land managers to use emerging technologies. "In its own abstract way, this tackles the crux of what does AI look like in the workplace to actually make people's jobs more enjoyable, not that we're just using AI for everything," Penton said.
"People are still part of the verification. People are still part of the process. "We have a term called strong data, and what makes data strong is that people have been part of collecting it, part of verifying and processing it, and how they bring it into their own stewardship system with making decisions about Country is up to them." Rangers involved have shared how their digital skills have grown throughout this process, allowing them to educate one another, produce reports that share monitoring results and create resources to share knowledge with younger generations.
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