As organizations increasingly integrate artificial intelligence (AI) into their operations, the importance of robust data governance cannot be overstated. Data GRC (Governance, Risk Management, and Compliance) form the bedrock upon which effective AI programs are built. These frameworks ensure that data is managed properly, data objectives are achieved, uncertainty and risks are mitigated, and compliance is maintained to ensure that organization acts with integrity, all of which are crucial for the ethical and efficient use of AI.  

Here are key data governance principles necessary for the successful deployment of AI programs in organizations . . .

[The rest of this blog can be read on the Archive360 blog, where GRC 20/20’s Michael Rasmussen is a guest author]

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