Beyond ethical considerations, there is a strong economic argument for incorporating diversity in AI development to reduce bias. Biased AI systems can lead to poor decision-making, risk of litigation, and loss of consumer trust, ultimately affecting the bottom line. Conversely, diverse teams are better equipped to foresee and mitigate these risks, leading to more robust, reliable, and universally accepted AI applications. Thus, diversity and inclusion can be seen as not just moral imperatives but strategic business advantages.
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