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Decoding AI: Part 8, Data governance and generative AI

Decoding AI: Part 8, Data governance and generative AI

In Part 8 of the Decoding AI series, we explore the critical role of data governance in generative AI. The blog starts by highlighting the importance of reliable and trustworthy data in AI, explaining how data governance helps in defining the appropriate use and security of data in AI across its entire lifecycle.

Next, the article dives into the challenges of generative AI, where AI generates new, unique data rather than relying on existing data. The author explains the risks associated with generative AI and how data governance can help mitigate these risks.

The blog concludes by providing practical steps for implementing effective data governance in generative AI, such as creating policies and roles to define access and use of synthetic data, and having a dedicated data ethics committee.

If you're interested in understanding the intersection between data governance and generative AI, this blog provides a comprehensive overview.

The post Decoding AI: Part 8, Data governance and generative AI originally appeared on Azure Government.

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