AI Marketing MBA - Lesson 13: Risks & Considerations

With great power comes great responsibility. While Generative AI is shaping up to be the next  big-ticket driver of productivity and creativity, it comes with several risks that need to be managed,  to protect businesses and their customers from harm.  

Common Generative AI risks include:

• Inaccuracy: Generating misinformation or inaccurate content
• Data bias: Generating harmful outputs that are biased or discriminatory.
• Cyber security: Generative AI models could accidentally access sensitive customer and  business data
• Lack of control: One potential challenge with Generative AI outputs is identifying  potential issues, like the utilisation of copyrighted material.
• Insufficient user training: Employees may accidentally expose sensitive and business  enterprise data when using Generative AI.  

In this course you will learn the 8 steps to help mitigate risks related to Generative AI.