Knowledge Graphs for Language Models and Language Models for Knowledge Graphs – Hybrid Applications of symbolic and subsymbolic AI ©…
DIN German Institute for Standardization
Artificial intelligence – Quality requirements and processes – Risk identification and analysis for AI systems along the entire life cycle…
DIN DKE SPEC 99002
Terminology – AI in railway applications; Text in English
Terminology – AI in railway applications; Text in English © German Institute for Standardization 2025
Taxonomy of Rules and Regulations in Smart Data; Text in English © German Institute for Standardization 2025
DIN SPEC 91512
Fairness of AI-based applications in the financial sector
Fairness of AI-based applications in the financial sector © German Institute for Standardization 2025
DIN SPEC 91516
Human performance regarding the dynamic driving task for the specification of AI in ATO; Text in English
Human performance regarding the dynamic driving task for the specification of AI in ATO; Text in English © German Institute…
Requirements for trustworthy AI methods in police applications © German Institute for Standardization 2025
A good understanding of a data set is a prerequisite for its correct evaluation, e. g. in the context of…
DIN SPEC 92001-2
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 2: Robustness
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
DIN SPEC 92005
Artificial Intelligence – Uncertainty quantification in machine learning; Text in English
This DIN SPEC has been developed within a DIN SPEC consortium. The document was developed and approved by organizations named…
DIN SPEC 92001-1
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model; Text in English
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
