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

Status: Published

Publication Date: 2019-04-01

Category: Artificial Intelligence

Working Group:

Primary Source: https://www.dke.de/resource/blob/2017010/99bc6d952073ca88f52c0ae4a8c351a8/nr-ki-english—download-data.pdf

Source: https://www.standict.eu/standards-repository/artificial-intelligence-life-cycle-processes-and-quality-requirements-part-1