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Proactive approaches to data transparency in AI systems

Data transparency issues, such as how data is collected and labeled, typically arise after the fact. How can we be more proactive about addressing these problems? @StanfordHAI faculty fellow @HariSubramonyam shares some insights from their latest research:

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