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The Importance of Data Quality, Governance, Bias, Fairness, Trust, and Transparency in AI
This chapter emphasizes the significance of data quality and governance in enabling generative AI, discussing the potential consequences of poor data governance, the need for handling bias and fairness, and the importance of trust and transparency. It suggests that investing in data quality and governance can enhance the cost-effectiveness and trustworthiness of AI initiatives.