AI learns from the data and perspectives we provide, which means it can reflect existing gaps or biases. With awareness, we can shape it to be more inclusive and aligned with our values. Bias may stem from incomplete data, outcome-skewing patterns, or limited perspectives in design and use. By keeping humans actively involved, regularly reviewing outputs, being transparent about AI’s role, and leading with equity and mission, we ensure AI remains a supportive learning partner—not a decision-maker—helping drive stronger, more equitable outcomes.