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AI Management System (AIMS)

Trustworthy AI,
the standard for future technology

Uncontrolled AI is nothing but risk.
The first commitment to responsible innovation.

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Standard Overview

ISO/IEC 42001 specifies the requirements for managing the risks that can arise when an organization develops, provides, or uses AI systems, and for using AI responsibly. It establishes a reference point for securing trustworthiness and ethics in a rapidly changing AI technology landscape.

Why is it needed?

AI regulation is taking concrete shape worldwide, including the EU AI Act. Without controls over AI risks such as bias, lack of explainability, and privacy intrusion, market entry itself may become impossible. ISO 42001 is the first-mover credential that proves your company is a "trustworthy AI" organization.

Key Features

AI Risk Assessment

Assesses the bias, transparency, and safety risks of AI models.

Data Quality

Establishes a framework to manage the quality and bias of training data.

Transparency & Explainability

Manages AI decision-making so that it can be explained.

Lifecycle Management

Controls the entire AI lifecycle, from planning to decommissioning.

Certification Process

1

Scope Definition

Define AI system scope and identify risks

2

Impact Assessment

Conduct AI impact assessment and define controls

3

Implementation

Apply AI ethics guidelines and management processes

4

Certification Audit

Audit of algorithm and data management framework

5

Certification

Earn certification as a leading domestic AI company

Expected Benefits

EU AI

Proactive Compliance

Get ahead of tightening global AI regulations and laws

Trust

Build Trust

Earn user trust in the fairness and safety of your AI services

Tech

Prove Capability

Demonstrate a tech company with a systematic AI development process

Invest

Attract Investment

Give investors confidence through demonstrated AI risk management

Frequently Asked Questions

Does ISO 42001 help with EU AI Act compliance?
Yes. ISO 42001 is largely aligned with the high-risk AI system management requirements of the EU AI Act (risk management, data governance, transparency, human oversight, and more). ISO 42001 certification can serve as the first step in building the foundational system for EU AI Act compliance, helping to reduce the cost of regulatory readiness.
What types of AI systems does ISO 42001 apply to?
It applies to a wide range of AI technologies, including generative AI, machine-learning-based recommendation systems, natural language processing (NLP), computer vision, and predictive analytics. Its scope covers not only companies that develop AI in-house but also companies that use external AI services (ChatGPT API, cloud AI, and so on).
How is AI bias managed under ISO 42001 certification?
It systematizes procedures for identifying and mitigating bias in training data, methodologies for evaluating model fairness, and performance testing across diverse demographic groups. Just Verify auditors support the development of a bias-evaluation framework tailored to your company's AI model types.
Do I have to disclose my AI model's source code to obtain ISO 42001 certification?
No. ISO 42001 evaluates the management processes and governance framework of an AI system; it does not require you to disclose source code or proprietary algorithms. The core of the certification is securing transparency in AI operations while protecting trade secrets.
What are the benefits for a company that already holds ISO 27001 and adds ISO 42001?
ISO 27001 and ISO 42001 share the same management system structure (HLS, High Level Structure), so if you already have an ISO 27001 foundation, you can avoid duplicate documentation when building ISO 42001 and operate an efficient integrated management system. The two certifications also create strong synergy in terms of AI data security.

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