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This cluster explores human–AI collaboration at work, covering interaction patterns, role definitions, and technical and organizational integration.
Includes concepts, interaction modes, interaction patterns, naming of communication formats, error-handling, disclosure and feedback mechanisms, and conceptual default settings for human–AI collaboration in work processes. Excludes technical implementations, specific ML models, infrastructure configurations, privacy requirements, operations and maintenance manuals, and role- or organization-specific directives.
Platforms and tools that support knowledge workers by automating routine tasks, improving information access, and enabling more effective collaboration.
Approach for automating repetitive tasks and processes using scripts, workflows and integrations to reduce manual work and errors.