AI Foundations & Orientation
This cluster provides foundational knowledge and organizational orientation for applying AI responsibly across products and domains.
- Knowledge domains
- /Thematic areas
- /Segments
- /Building blocks
Augmentation
Concept for deliberately extending human capabilities through tools, processes and interfaces to support decision-making and productivity.
Automation
Automation refers to automating repetitive tasks and processes using software, scripts or tools to reduce manual work and human error.
Applied Artificial Intelligence
Practical approach to applying AI methods to real business and technical problems, focusing on operationalization, data integration and measurable outcomes.
Artificial Intelligence (AI)
A high-level concept for building systems that perform tasks requiring human-like perception, learning and decision-making.
Bias in AI Systems
Explains systematic distortions in data and models, their causes, and practical measures to detect and mitigate bias in AI systems.
Uncertainty
A conceptual framework describing knowledge gaps, variability and ambiguity that influence decisions in engineering, architecture and product management.
Human-Centered AI
A concept for designing AI systems that places human needs, values and workflows at the center.
Socio-Technical Systems
Socio-technical systems describe systems in which social and technical components are inseparably intertwined.