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An AI policy serves as a framework to ensure that AI systems align with ethical standards, legal requirements and businessobjectives. While this leads to efficiency, it also raises questions about transparency and data usage. This includes regular audits to guarantee dataquality and security throughout the AI lifecycle.
They should conduct a gapanalysis comparing current practices against DPDP requirements to identify critical compliance deficiencies, to prevent reinvention of the wheel. Rather than a knight in shining armour, the DPO should be viewed as a strategic risk manager and business enabler.
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