Why AI needs a "nutrition label" (from TED Talks Daily)
The TED AI Show
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Navigating the Wild West of Data Quality in AI
This chapter explores the complexities of assessing data quality and its impact on AI systems, emphasizing the risks of deploying models on varied populations. It draws parallels to food safety regulations, highlighting the need for more robust standards to bridge the gap between AI developers and the diverse users they serve.
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