Validating AI Outputs to Ensure Accuracy & Support Confidence in Decision-Making
- Establishing quality control processes to ensure staff consistently check AI generated outputs
- Training teams to interpret, challenge and refine AI outputs so data supports rather than overwhelms
- Testing new AI model versions to identify errors early and avoid inaccurate reporting