Continuous Improvement:

• 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.

User Satisfaction:

QMS focuses on meeting and exceeding user expectations by incorporating quality management principle.