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The Need for Openness in AI Data Practices
This chapter discusses the crucial role of openness in data sets, particularly advocating for responsible practices that uplift marginalized communities. It highlights the intersection of open source, environmental impact, and accountability in AI development, alongside considerations for transparency and fairness. Additionally, the chapter reflects on the experiences of crowd workers, indigenous data sovereignty, and the ethical challenges around data protection in the evolving landscape of AI technologies.
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