Summary:
Le 15 septembre 2025, le Ministère fédéral allemand des Affaires numériques a commencé des consultations avec les états et les organisations concernant la législation nationale de mise en œuvre pour le règlement de l’UE sur l’IA, connu sous le nom de Loi sur la Surveillance du Marché de l’IA et la Promotion de l’Innovation (KI-MIG). L’initiative vise à établir un cadre de gouvernance léger et favorable à l’innovation pour l’IA en Allemagne. Les dispositions clés comprennent la nomination de l’Agence fédérale des réseaux comme autorité centrale de supervision, la création d’un Centre de Coordination et de Compétence (KoKIVO), l’établissement d’un laboratoire d’IA dans le monde réel et l’introduction d’un service d’assistance pour guider les parties prenantes. Le gouvernement travaille à finaliser et adopter la législation conformément à l’échéance de l’UE du 2 août 2025.
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The German Federal Ministry of Digital Affairs has initiated a consultation process among states and industry associations for the draft of the “Artificial Intelligence Market Surveillance and Innovation Promotion Act” (KI-MIG). This legislation aims to implement the European AI Regulation within Germany, which is a critical step toward ensuring compliance with the ambitious and wide-reaching AI governance framework set forth by the European Union. The draft text specifies the responsibilities of German authorities, structures enforcement mechanisms, outlines measures to foster AI innovation, and delineates processes for administrative fines where necessary.
### Legal Context
The European AI Regulation, effective August 2, 2024, sets out overarching requirements for the safe, ethical, and trustworthy use of AI technologies across the EU. Its mandates include the regulation of high-risk AI systems, transparency obligations for AI providers, and the establishment of national supervisory authorities by August 2, 2025. The German government is under significant pressure to finalize its legislation after delays caused, in part, by early federal elections. The KI-MIG aligns with EU requirements by designating the German Federal Network Agency (Bundesnetzagentur) as the primary supervisory body for AI, leveraging its established administrative structures and expertise from other regulatory domains.
### Ethical Analysis
From an ethical standpoint, the KI-MIG balances the dual imperatives of promoting innovation and safeguarding ethical AI deployment. By creating a hybrid governance structure, the proposal minimizes bureaucratic redundancies while enhancing oversight capabilities. This approach ensures that ethical challenges—such as algorithmic biases and risks to privacy—can be managed effectively. Establishing a Coordination and Competence Center (KoKIVO) within the Bundesnetzagentur provides a centralized resource to address horizontal legal and ethical issues, reflecting a commitment to ensuring that AI development in Germany adheres to high ethical standards. Moreover, the creation of a “real-world AI lab” could act as a sandbox for developing and testing AI within a controlled regulatory environment, striking a balanced approach to nurturing innovation without sacrificing accountability.
### Industry Implications
The implementation of the KI-MIG could have far-reaching effects across the German economy. The designation of the Bundesnetzagentur as the single-point contact for AI regulations simplifies compliance processes for businesses. This centralized “One-Stop-Shop” approach reduces regulatory fragmentation, an issue frequently criticized by industry stakeholders operating across multiple sectors. Additionally, the establishment of a dedicated AI Service Desk provides a valuable resource for companies navigating new regulatory landscapes, fostering greater clarity and confidence for market actors.
The innovation-oriented aspects of the KI-MIG—such as the AI real-world lab and targeted support measures—create opportunities, particularly for startups and SMEs, to experiment and scale their operations in a compliant environment. For instance, a startup developing health diagnostics AI could benefit from clear guidance on meeting the Regulation’s high-risk system requirements while leveraging the lab for pilot testing.
On the other hand, established players in highly regulated industries, such as finance and healthcare, may face increased scrutiny under the EU-wide uniform compliance standards. This could include mandatory third-party audits, transparency reporting, and updated risk assessments for high-risk AI systems. However, the uniformity of rules across EU member states may also lower barriers for cross-border operations, providing long-term benefits for compliant companies.
### Conclusion
The KI-MIG represents a robust effort to integrate European AI regulation into Germany’s national legal framework while fostering innovation. Its hybrid model, combining existing supervisory infrastructures and new support mechanisms, exemplifies a balanced governance approach. By streamlining compliance and providing targeted support to industry stakeholders, the German government is positioning itself to be a leader in the European AI sector while addressing key ethical and legal challenges in deploying this transformative technology.