Machine learning (ML) and artificial intelligence (AI) with human involvement

Machine learning (ML) and artificial intelligence (AI) with human involvement refer to the collaboration between automated systems and human operators to enhance the capabilities and decision-making processes of both machines and humans. This collaboration is often referred to as “human-in-the-loop” or “human-on-the-loop” systems. It involves leveraging the strengths of both AI and human intelligence to achieve better results in various applications.

Data Labeling and Annotation, Model Training and Validation, Quality Control and Assurance, Decision Support Systems, Anomaly Detection, Curation and Personalization, Semi-Autonomous Systems,Ethical and Social Considerations, Continuous Learning and Improvement, Creativity and Complex Problem Solving

This approach acknowledges that AI is a tool to augment human capabilities rather than replace them entirely.