The insufficiency of our current educational approach to AI bias lies in its siloed nature, concentrated within computer science and technical domains. A truly effective strategy would be interdisciplinary, involving insights from sociology, philosophy, ethics, and beyond. This blend would foster a more nuanced understanding of AI bias, its roots, and its broader societal implications, cultivating well-rounded AI literacy.
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