From the course: The AI Equity Imperative: Building a More Inclusive Future with AI

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Expanding representation in AI development

Expanding representation in AI development

- Expanding representation in AI development involves intentional efforts to include diverse perspectives throughout the AI lifecycle. Representation matters because homogenous teams often miss critical insights about how AI systems might impact different communities leading to technologies that work well for some but fail for others. Building diverse teams requires comprehensive strategies that extend beyond recruitment. Organizations must create inclusive cultures where team members from all backgrounds feel valued and empowered to contribute their perspectives. Diverse teams are better equipped to identify potential harms from AI systems and develop solutions that work across different contexts. To build diverse teams, organizations can employ strategies that focus on developing mentorship programs and building talent pipelines for underrepresented groups in AI fields. Retaining diverse talent requires addressing systemic barriers that impact workplaces such as bias in performance…

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