A-Step-by-Step Guide: How to Mitigate the Risks of Using Generative AI

Generative AI is emerging as a major catalyst for productivity and creativity. However, it also introduces several risks that must be carefully managed to safeguard businesses and their customers from potential harm.

Key risks associated with Generative AI include:

• Inaccuracy: Generating misleading or incorrect content.
• Data Bias: Producing harmful outputs that reflect bias or discrimination.
• Cybersecurity: Potential exposure of sensitive customer and business data.
• Lack of Control: Challenges in identifying issues such as the unintentional use of copyrighted material.
• Insufficient User Training: Employees may inadvertently compromise sensitive business data when using Generative AI tools.

This guide provides a step-by-step approach to mitigating these risks and outlines the measures businesses can implement to ensure the safe and effective use of Generative AI.

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