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

Abstract

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

General Information

Publication date: 01 April 2019

ICT rolling plan topic: Artificial Intelligence

SDO: iiRDS

Latest publishied version: https://www.dke.de/resource/blob/2017010/99bc6d952073ca88f52c0ae4a8c351a8/nr-ki-english---download-data.pdf