Private Enforcement of AI Act Copyright Provisions in Germany

The AI Act Provisions Relating to Copyright: Private Enforcement in Germany

The AI Act introduces significant changes to the landscape of copyright enforcement, particularly regarding the possibilities for private enforcement. This study explores the implications of these provisions with a focus on Germany’s legal framework.

1. Overview of the AI Act

The AI Act’s provisions aim to create a level playing field among providers of general-purpose AI models. It emphasizes the necessity for compliance and monitoring, ensuring that market participants are protected from unfair business practices.

2. Enforcement Mechanisms

Two primary mechanisms for enforcement are explored: Section 823(2) of the German Civil Code and Section 3a of the German Act Against Unfair Competition (UWG).

2.1 Enforcement via Section 823(2) BGB

This section provides a foundation for claims for damages related to violations of the AI Act. The principle of restitution in kind ensures that the injured party is restored to their pre-damage position. However, this method does not offer the flexibility of broader claims that might be available under competition law.

2.2 Enforcement via Section 3a UWG

Section 3a UWG offers a more dynamic route for enforcement, allowing competitors to assert claims as part of their competitive rights. It provides for prohibitory injunctive relief and the possibility of compensation. The section is particularly noteworthy for its allowance of competitor standing, which may extend to authors and rightholders in certain contexts.

3. Key Requirements for Enforcement

For a provision to be enforceable under Section 3a UWG, it must:

  • Regulate market conduct in the interests of market participants.
  • Not provide an exhaustive system of sanctions.

3.1 Article 53(1)(c) AI Act

This provision is designed to ensure fair competition among AI providers. It protects competitors by regulating market conditions, thus fulfilling the requirement for suitable conduct regulation.

3.2 Article 53(1)(d) AI Act

Article 53(1)(d) facilitates the enforcement of rights by copyright holders and emphasizes the dual function of market regulation. It aims to create an environment where legitimate interests can be exercised effectively.

4. Comparison of Legal Consequences

The differing approaches of Section 823(2) BGB and Section 3a UWG lead to varied legal consequences:

  • Section 823(2) primarily offers claims for damages based on individual rights.
  • Section 3a UWG includes broader claims for injunctive relief and can address multiple infringements collectively.

5. Conclusion

The analysis indicates that private enforcement of the AI Act’s provisions is feasible under both Section 823(2) BGB and Section 3a UWG. However, Section 3a UWG appears more advantageous, as it allows for claims across a wider array of infringements, making it a powerful tool for rightholders and competitors alike.

In summary, the AI Act could facilitate actions against violations of EU AI training rules, even in cases where the training occurs outside the EU. This sets a precedent for robust enforcement mechanisms in the evolving landscape of AI and copyright.

More Insights

AI Regulations: Comparing the EU’s AI Act with Australia’s Approach

Global companies need to navigate the differing AI regulations in the European Union and Australia, with the EU's AI Act setting stringent requirements based on risk levels, while Australia adopts a...

Quebec’s New AI Guidelines for Higher Education

Quebec has released its AI policy for universities and Cégeps, outlining guidelines for the responsible use of generative AI in higher education. The policy aims to address ethical considerations and...

AI Literacy: The Compliance Imperative for Businesses

As AI adoption accelerates, regulatory expectations are rising, particularly with the EU's AI Act, which mandates that all staff must be AI literate. This article emphasizes the importance of...

Germany’s Approach to Implementing the AI Act

Germany is moving forward with the implementation of the EU AI Act, designating the Federal Network Agency (BNetzA) as the central authority for monitoring compliance and promoting innovation. The...

Global Call for AI Safety Standards by 2026

World leaders and AI pioneers are calling on the United Nations to implement binding global safeguards for artificial intelligence by 2026. This initiative aims to address the growing concerns...

Governance in the Era of AI and Zero Trust

In 2025, AI has transitioned from mere buzz to practical application across various industries, highlighting the urgent need for a robust governance framework aligned with the zero trust economy...

AI Governance Shift: From Regulation to Technical Secretariat

The upcoming governance framework on artificial intelligence in India may introduce a "technical secretariat" to coordinate AI policies across government departments, moving away from the previous...

AI Safety as a Catalyst for Innovation in Global Majority Nations

The commentary discusses the tension between regulating AI for safety and promoting innovation, emphasizing that investments in AI safety and security can foster sustainable development in Global...

ASEAN’s AI Governance: Charting a Distinct Path

ASEAN's approach to AI governance is characterized by a consensus-driven, voluntary, and principles-based framework that allows member states to navigate their unique challenges and capacities...