Mitigating exclusion bias in AI requires a multifaceted approach: ensuring diverse datasets, employing inclusive algorithms, regularly testing for bias, and involving diverse teams in AI development. These steps are critical to creating models that perform fairly and representatively across various user demographics and scenarios.