Achieving equity in AI requires a holistic human-centered approach that addresses technical, social, and ethical considerations throughout the entire AI lifecycle, from data collection to deployment and beyond. It involves ensuring that AI systems do not perpetuate or exacerbate existing inequalities and that their benefits are distributed equitably across different groups in society.


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