iiRDS

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Domain ontology for technical communication

iiRDS is a standard for the delivery of intelligent information in the scope of user assistance for products. The information is provided with the product for the purpose of assisting the users in setting up, operating, and maintaining the product. Intelligent information is defined as technical documentation content enriched with metadata. iiRDS consists of a vocabulary for the metadata provided with the content (RDF Schema) and a package format for the exchange of packages.

Guideline for the develop-ment of deep learning image recognition systems

Procedure for data collection, structuring of data for learn-ing AI image recognition, process structure of learning experiments and quality assurance

DIN SPEC 13266

Artificial Intelligence– Life Cycle Processes and Quality Requirements– Part2: Robustness

AI-specific requirements with regard to robustness, espe-cially regarding adversarial robustness and corruption robustness

DIN SPEC 92001-2

Artificial Intelligence– Life Cycle Processes and Quality Requirements– Part 1: Quality Meta Model.

Concrete relation to AI:

  • Quality Meta Model Rela-tion to ISO/IEC12207 Life cycle model
  • Differentiation into risk classes: “low” and “high risk” AI modules
  • Quality columns: functionality and performance, robustness and comprehensibility
  • AI quality depends on: Design of the AI model and data quality
  • Risk management along the entire life cycle is recommended
DIN SPEC 92001-1