What are the best practices for using AI in risk assessment?

What are the best practices for using AI in risk assessment?

The best practices include data quality management, model transparency, and continuous monitoring of AI systems.

How can I ensure data quality for AI models?

You can ensure data quality by implementing rigorous data validation processes and using diverse datasets.

What role does model transparency play in risk assessment?

Model transparency helps stakeholders understand AI decisions, which is crucial for trust and accountability.

Can you give examples of continuous monitoring?

Continuous monitoring can involve regular performance evaluations and updating models based on new data.