The Growing Importance of Certified AI Managers

With AI adoption accelerating, regulatory landscapes are rapidly evolving to keep pace. In response, businesses need to integrate AI ethics frameworks into corporate governance, ensuring that AI solutions align with human-centric values and that AI security is strengthened to address growing concerns around cybersecurity threats, data integrity, and deepfake misuse.

Certified AI managers play a crucial role in this environment by integrating artificial intelligence into business operations. Their roles extend well beyond the basic implementation of AI-driven solutions, with responsibilities that include ensuring alignment with legal frameworks, assessing and mitigating risks, and fostering trust in AI systems. These professionals act as a bridge between technology advancements and regulatory compliance, helping businesses adapt to evolving requirements. Employing certified AI managers is not merely a matter of legal compliance but also a strategic investment.

EU Takes a Lead Role in AI Guidance and Regulations

The European Union (EU) is taking a lead role in establishing parameters, guidance, and regulations to steer AI solutions, and in the process is pioneering the certification of Certified AI managers.

The EU's Artificial Intelligence Act (AI Act) is a comprehensive legal framework designed to regulate AI technologies within the EU. It classifies AI systems based on risk levels that include unacceptable, high, limited, and minimal risk. It also imposes corresponding obligations to ensure safety, transparency, and respect for fundamental rights. Companies interacting with this market—both Europe-based organizations as well as non-European companies doing business in Europe—must implement robust AI compliance strategies to mitigate risks, avoid penalties, and maintain seamless business operations.

In response to these demands, there is a growing movement to develop programs for Certified AI managers who can help organizations navigate the complexities of AI regulations. For example, the Center for Digital Transformation (CDT) of the Serbian Chamber of Commerce, in collaboration with Austrian Standards, has launched an AI Manager Certification Program; the first generation of AI Managers were recently certified.

The program aligns with the internationally recognized ISO/IEC 17024 standard, ensuring both credibility and quality in its certification process. It offers comprehensive training that covers all critical aspects of AI management, ranging from technical fundamentals and ethical considerations to legal compliance and project execution. The curriculum is structured in multiple phases, including theoretical instruction, hands-on project presentations, and preparation for the final certification exam. Detailed information about the program is available on the AI Manager program page.

A Global Need for Certified AI Managers

A program like the CDT trains Certified AI managers who can identify the risk level of AI applications and implement appropriate measures to mitigate potential harm, with expertise in areas such as the AI Act's Article 4, which mandates training for employees involved in developing and deploying AI systems, and Article 5, which identifies prohibited AI practices. They also oversee the innovation process, ensuring that innovation aligns with regulatory standards and ethical considerations.

The need for Certified AI managers extends far beyond the borders of the European Union. Although the CDT's AI Manager certification is aligned with the EU Artificial Intelligence Act (AI Act), its relevance is global. As mentioned earlier, the AI Act applies not only to companies based in the EU but also to non-European organizations if they are placing AI systems on the EU market, using them in the EU, or their systems affect individuals in the EU.

This extraterritorial reach means that companies worldwide must understand and comply with the AI Act to operate in or interact with the European market. Certified AI managers play a key role in ensuring regulatory compliance, ethical AI deployment, and alignment with international best practices.

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