Four emerging categories of gen AI risks
Deloitte identifies four key risk categories associated with generative AI: data and model risks, output risks, operational risks, and strategic risks. These include data privacy, model bias, inaccurate outputs, cybersecurity vulnerabilities, and potential business disruptions. Understanding and mitigating these risks is crucial for organizations to harness the benefits of generative AI while maintaining trust and compliance.
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