Artificial intelligence – Quality requirements and processes – Risk identification and analysis for AI systems along the entire life cycle; Text in English
This document specifies an AI risk scheme covering the objectives
— reliability,
— avoidance of unwanted bias, and
— autonomy and control
along the entire lifecycle of artificial intelligence (AI) systems that include Machine Learning (ML) components.
It aims to serve as a basis for the identification of the AI risks which are present in a specific AI system and their
analysis from a product perspective. Thus, it aims to inform the parts of the risk management processes within
an organization responsible for the identification and analysis of risks providing specific technical guidance for
the mentioned objectives.
The scheme maps risk sources to each objective and gives guidance on risk identification and risk analysis. This
document does not specify the risk mitigation.
This document is intended to be applicable to all developers, providers, and operators of AI systems.