Technical approaches to inclusivity include designing algorithms that actively detect and mitigate bias in decision-making processes. Employing fairness-aware metrics—such as demographic parity or equalized odds—allows researchers to quantitatively measure and improve inclusivity in agentic AI behaviors.
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