Human–AI Interaction & Work
This cluster explores human–AI collaboration at work, covering interaction patterns, role definitions, and technical and organizational integration.
- Knowledge domains
- /Thematic areas
- /Segments
- /Building blocks
Trust & Explainability
Contains specifications for interaction patterns between humans and AI, principles for explainability components, structural guidelines for trust mechanisms, descriptions of standard interaction modes, default work configurations, evaluation metrics for explanations, and examples of explanation modules, signaling mechanisms, and failure modes. Excludes detailed implementation guides for infrastructure, cloud operations, ML model training, operational DevOps pipelines, legal/regulatory documentation, and organizational rollout procedures.
Explainable AI
Methods and tools that make AI model decisions transparent, interpretable and verifiable to support trust, compliance and debugging.
Trust in Automation
Concept and practice to ensure reliability, transparency and human control of automated systems.