This document provides guidance for organizations to address privacy risks in artificial intelligence (AI) systems and machine learning (ML) models. The guidance in this document helps organizations identify privacy risks throughout the AI system lifecycle, and establishes mechanisms to evaluate the consequences of and treat such risks.
This document is applicable to all types and sizes of organizations, including public and private
companies, government entities, and not-for-profit organizations that develop or use AI systems.
PROJECT
ISO/IEC DIS 27091
40.20
DIS ballot initiated: 12 weeks
Dec 3, 2025
To view the full content, you need to register or to log in to your account by clicking on the "Log in" button