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Content
Content (en)
Foreword
Introduction
Scope
Normative references
Terms and definitions
Motivations and objectives
AI application context and characteristics
Establishing approach for AI application context
AI application context
Stakeholders and processes
General
AI stakeholders
General
AI producer
AI developer
AI customer
AI user
AI application provider
AI partner
Data provider
Other stakeholders
General
Community
Regulators and policy makers
Processes
General
AI system
AI model and development
AI application
AI service
AI-augmented decision-making
AI application functional characteristics
AI application non-functional characteristics and considerations
General
Trustworthiness
General
AI robustness
AI reliability
AI resilience
AI controllability
AI explainability
AI predictability
AI transparency
AI verification and validation
AI bias and fairness
Risks and risk management
General
Risk management framework and processing
Ethics and societal concerns
General
Ethical framework
Societal concerns
Legal requirements and issues
Stakeholders’ perspectives and AI application framework
General
Stakeholders’ perspectives
AI application framework
Guidance for AI applications
General
General
AI producer perspective
Data provider perspective
AI developer perspective
AI application provider perspective
Use perspective
General
AI customer and AI user perspective
Impact perspective
General
Community perspective
Regulator and policy maker perspective
Use cases (informative)
General
Fujitsu Limited – detecting defects in wind turbine blades
LivePerson – chatbots using natural language understanding
Bibliography
ICS
35.020
Cooperation at DIN
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