ISO/IEC 38507
IT Governance — Governance implications of the use of artificial intelligence by organizations. Defines the decision-making, data, and risk management systems that organizations should have when introducing AI.
Library List
Connection with KAIC-1
- Ensuring appropriateness of organizational governance systems for AI adoption
- Strengthening social and legal responsibility and accountability for AI use
- Increasing transparency in data use and decision-making processes
ISO/IEC 38507 Overview
ISO/IEC 38507 is an international standard that provides guidance on the governance of IT for organizations using AI. It evaluates the governance framework including key elements for decision-making, data use, cultural values, compliance, and risk.
KAIC-1 certification provides actionable guidelines for implementing ISO/IEC 38507 governance requirements.
- Evaluating systems for maintaining governance and accountability during AI adoption
- Assisting in defining appropriate levels and scopes of responsibility within the AI ecosystem
- Verifying concrete implementation of governance policies related to decision-making and data use
Crosswalk
Check the mapping between ISO/IEC 38507 requirements and KAIC-1 requirements.
Governance implications of organizational use of AI
Defines how to maintain and extend existing governance and accountability when introducing AI.
Key Requirements
- Establishing frameworks for maintaining governance during AI adoption
- Setting up procedures to ensure organizational accountability
- Creating governance policies and strategic plans
KAIC-1 Mappings
Overview of AI and AI systems
Understanding AI technology characteristics and identifying organizational impacts and constraints.
Key Requirements
- Analyzing differences between existing IT systems and AI
- Defining responsibility boundaries within the AI ecosystem
- Identifying benefits and organizational constraints of AI use
KAIC-1 Mappings
Policies to address use of AI
Establishing specific management policies for decision-making, data, and risk management.
Key Requirements
- Developing governance policies for AI oversight and decision-making
- Building management systems for data use and security
- Establishing policies for cultural/value compliance and legal risk management