AI makes the call. Who answers for it? Accountability, authority, and the data infrastructure that makes ethical AI possible in wildland firefighting.

This report examines how AI is already shaping aerial firefighting operations, often without formal governance frameworks to guide its use in life-safety environments. As artificial intelligence becomes embedded in wildfire response, questions of accountability and decision-making are increasingly urgent.

The publication provides practical insights into responsible AI adoption, emphasizing the need for robust data infrastructure, clear accountability structures, and validation processes. It is intended for policymakers, emergency managers, and technology providers seeking to safely integrate AI into disaster response operations. 

• Agencies need to locate themselves honestly on the automation spectrum, not where vendor materials describe their tools, but where those tools actually sit based on how they behave when conditions degrade, connectivity drops, or a sensor fails.
•  Agencies need to own their operational data in a form that supports reconstruction and parallel validation. Not because something has gone wrong, but because the ability to know whether AI is actually improving outcomes requires it. That data belongs to the agency. It should be held in formats the agency controls, and the contract should say so. 
• The accountability question needs to be answered before an incident forces the answer.