The solution involves developing an AI framework that leverages sensor fusion from multiple inputs such as satellite imagery, drone footage, and on-ground sensors to form a comprehensive real-time understanding of the environment.

This AI system would utilize advanced computer vision techniques and continuous learning models trained on diverse combat scenarios to enhance its contextual awareness.

The framework also incorporates ethical decision algorithms that prioritize civilian safety and compliance with international humanitarian laws.

Enhanced processing techniques allow the AI to adapt to environmental changes and make informed decisions even in chaotic conditions.

This solution significantly reduces collateral damage by providing more accurate target recognition and decision-making tools in complex environments.

It builds public trust through ethical compliance and adherence to international standards, thereby enhancing mission outcomes without compromising moral responsibilities.

The technological foundation exists, with advancements in sensor technology, data fusion, and AI models.

However, integrating these components into a cohesive and sensitive operation ready solution will require significant investment in R&D and partnerships with defense contractors.

Regulatory approval will also be a key consideration, given the ethical implications.