- Encourages a culture of continuous improvement by analyzing feedback, monitoring performance metrics, and conducting regular reviews to identify areas for enhancement.
- Facilitates the implementation of corrective actions and iterative improvements to optimize AI system performance.
Compliance and Organizational Requirements:
- Address compliance requirements and regulatory considerations in AI development.
- Includes considerations related to data privacy, security, fairness, explainability, and accountability.
User Feedback and Evaluation:
Collecting user feedback and conducting user evaluations can provide valuable insights into the usability, satisfaction, and overall quality of the AI system.
QMS focuses on meeting and exceeding user expectations by incorporating quality management principle.