Managing AI risks

10 Risk Areas in AI that need to be managed

Here are 10 risk areas of Artificial Intelligence that need to be managed as part of your digital transformation journey:

“Artificial Intelligence is a powerful 'beast' that needs some taming. ”

~ Dennis Akkerman

INPUT
1. Alignment of AI initiatives with business requirements;
2. Reliability of the data to build and train model;
3. Privacy & compliance risk awareness;

PROCESSING
4. Choosing the right algorithms;
5. Validity of the underlying hypothesis;
6. Data leakage risks;

OUTPUT
7. Testing methods and validation;
8. Bias in decision making;
9. Context monitoring;
10. Ethics, influence, impact: use AI responsibly.

 

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