Management and compliance for artificial intelligence (ISO/IEC 42001)

Price
Net: €
VAT: €

Price
Price on Request

Duration
5 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
German

Training Solutions
Online Live

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Structured AI governance is rapidly gaining importance—especially where responsible development, safe use, and legally compliant implementation of artificial intelligence are required. The focus is on robust management, clear processes, and standards-based norms in accordance with ISO/IEC 42001:2023-12.

Key topics

Establishing effective AI management structures.
Governance, role models, and responsibilities.
Risk analysis, security controls, and monitoring.
Transparency, documentation, and quality measures.
Compliance requirements and audit principles.

Prerequisite
Basic understanding of modern AI technologies and basic knowledge of management systems.

Target audience
Specialists and managers from IT, compliance, security, governance, and digitalization.

A compact format that provides guidance, makes current standards tangible, and supports the path to responsible AI use.

Course Content

AI Act & GDPR

Fundamentals, Systematics, and Structure of the AI Act
Definitions, Risk Classification, Allocation of Roles
Overview of GDPR Interfaces: Data Quality, Purpose Limitation, Data Subject Rights
Introduction to the Principle of Organizational Accountability

Roles, Responsibilities, and Governance in the Context of AI

Obligations under the AI Regulation, GDPR, ISO/IEC 42001, and ISO 37301
Internal Role Model (AI Manager, Compliance Officer, Top Management, Compliance Function)
Governance Structures: Steering Committees, Internal Control System (ICS), Escalation Mechanisms
Independence of the compliance function
Embedding of accountability at the management level

Design and Operational Implementation of an AIMS

Context Analysis, Stakeholders, Obligations
Integration with ISO 37301: Compliance culture, compliance objectives, compliance risks
Documentation requirements, procedures, and responsibilities
Internal audits, management review, continuous improvement

AI Risk Management and Risk File

Establishment and Maintenance of a Risk File in Accordance with the AI Regulation
Link to compliance risk management in accordance with ISO 37301: identification, analysis, assessment
Definition and documentation of measures and residual risks
Consideration of risk appetite, early warning indicators, and escalations

Conformity Documentation and Obligations to Provide Evidence

System File, Declaration of Conformity, Risk Documentation
Requirements for transparency, traceability, and comprehensibility
Obligation to document “relevant information”
Audit trail for regulatory audits

Interfaces with the GDPR, Product Liability, and Other Regulatory Frameworks

Linking AI Compliance with Data Protection, Information Security, and Quality Management
Integration into compliance registries, policy management, and reporting procedures
Joint management with ISO 27001, ISO 9001, ISO 37301, and ISO 42001
Dealing with third parties, contractual partners, and cloud-based AI services

Training, Awareness-Raising, and Reporting

Compliance Training Requirements Under ISO 37301 and the AI Regulation
Documentation of Awareness, Training, and Competence
Establishment of compliance reporting systems (e.g., set of KPIs, management reports)
Establishment of a continuous improvement process

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is ISO/IEC 42001 for artificial intelligence?

ISO/IEC 42001 is the first international standard for AI management systems. It specifies requirements for how organizations can manage the responsible use of AI, minimize risks, and comply with legal requirements.

Why is an AI management system important for companies?

An AI management system ensures transparency, traceability, and security when using artificial intelligence. It helps to meet compliance requirements and build trust among customers, partners, and authorities.

What role does compliance play in artificial intelligence?

Compliance protects companies from legal risks and reputational damage. In the context of AI, this involves data protection, fairness, non-discrimination, and adherence to ethical standards when using automated systems.

Who would benefit from further training in AI compliance?

The training is useful for professionals in IT, data protection, law, risk management, quality assurance, or leadership. People responsible for digital strategies or AI projects will also benefit from it.

What are the advantages of ISO/IEC 42001 certification?

It creates international recognition, structures AI usage, reduces risks, improves internal processes, and makes it easier to demonstrate responsible AI usage to regulatory authorities.

Are there any prerequisites for getting started with this topic?

Technical knowledge is helpful, but not essential. More important are a grounding in management, IT, or law, as well as an interest in AI and regulatory developments.

Who benefits from training in this field?

Experts from IT, compliance, data protection, legal, and management who are responsible for AI projects or work with AI processes.

Do you have any further questions? Please contact us.

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