This review examines concepts and literature at the intersection of traditional and Indigenous knowledge (TIK), artificial intelligence (AI), and integrated fire management (IFM) within ecosystems. The growing importance of fire management is increasingly evident as climate change intensifies ecological, economic, and public safety risks associated with wildfires. Human societies have grappled with fire since the earliest stages of development, and this history is reflected in the substantial body of traditional knowledge related to the use and management of fire within landscapes. At the same time, recent advances in AI have expanded the reach of computational systems into many domains of human–environment interaction, including wildfire monitoring, prediction, and management. The integration of TIK with AI systems for the purpose of IFM is therefore emerging as an area of growing interest that builds upon substantial bodies of work in each of these three domains.
The Integration of Traditional and Indigenous Knowledge with Artificial Intelligence Systems: A Literature Review for the Case of Fire Management
Year: 2026
