出海歐洲 | 2026年GDPR第一案：意大利法院為何撤銷對OpenAI的1500萬歐元罰款？

The First GDPR Case of 2026: Why Did the Italian Court Revoke the €15 Million Fine Against OpenAI?

Although the Rome court has not yet published the detailed reasoning for revoking the fine, we can make reasonable inferences based on available information and the GDPR legal framework. Possible considerations include:

1. OpenAI’s Compliance Improvements: During the fine period, OpenAI may have taken proactive compliance measures, such as improving the transparency of user data processing, strengthening data security protections, optimizing user consent mechanisms, and potentially enhancing the anonymization or pseudonymization of AI training data. The court may have recognized these improvements, concluding that OpenAI had effectively addressed the compliance issues raised by Garante.

   
   

2. Re-evaluation of the Legal Basis for Data Processing: One of Garante’s initial reasons for the fine was OpenAI’s lack of an adequate legal basis for processing personal data for AI training. The court may have conducted a more in-depth review of the legal bases relied upon by OpenAI, such as “legitimate interests” or “performance of a contract,” and determined that under specific conditions, OpenAI’s data processing activities complied with GDPR requirements. This likely involved a comprehensive balancing of the nature and purpose of the AI model training data against the impact on the rights and freedoms of individuals.

   
   

3. Consideration of the Principle of Proportionality: When hearing such cases, courts typically consider the principle of proportionality in regulatory penalties. A €15 million fine is not a small sum for a technology company. The court may have deemed that, given the remedial measures already taken by OpenAI and its commitments to future compliance, revoking the fine or mitigating the penalty was more reasonable.

   
   

4. The Specificity of AI Technology Development: AI technology, particularly generative AI, has its specificities in data processing. The court may have considered the balance between AI technological innovation and data protection in its ruling, acknowledging the necessity of providing some flexibility for AI development while ensuring the rights of data subjects.

The Italian court’s revocation of the fine against OpenAI has multiple potential impacts on Chinese enterprises expanding overseas, especially AI-related companies operating in the European market:

1. Uncertainty in GDPR Enforcement: This case demonstrates that even the enforcement decisions of data protection authorities within the EU may face judicial review and be overturned. This increases the uncertainty of GDPR enforcement outcomes but also provides a precedent for enterprises to seek relief through legal channels.

   
   

2. Rethinking the Legal Basis for AI Data Processing: The court’s ruling may prompt enterprises to re-examine the legal basis for their AI data processing. For enterprises relying on “legitimate interests” for data processing, it is necessary to conduct Legitimate Interests Assessments (LIA) more rigorously and ensure that the impact of their data processing activities on the rights and freedoms of data subjects is minimized.

   
   

3. The Necessity of Compliance Investment: Although the fine was revoked, OpenAI invested immense legal and compliance costs throughout the process. This reminds Chinese enterprises that operating in the European market requires treating GDPR compliance as a long-term and crucial strategic investment rather than a short-term response.

Facing the new dynamics of GDPR enforcement, Chinese enterprises should draw lessons and formulate more robust compliance strategies:

1. Strengthen the Data Governance System: Establish a sound data governance framework, clarify all stages of data processing, and ensure that the entire lifecycle from data collection, storage, and use to destruction complies with GDPR requirements. Special attention should be paid to the source, lawfulness, and processing methods of AI training data.

   
   

2. Ensure the Legal Basis for Data Processing: For the massive amounts of data required for AI model training, enterprises must clarify the legal basis for their data processing, such as obtaining explicit consent, performing a contract, complying with legal obligations, or relying on legitimate interests. When relying on legitimate interests, be sure to conduct a detailed Legitimate Interests Assessment and document the evaluation process.

   
   

3. Enhance Transparency and User Notification: Enterprises should inform users about their data processing activities in clear, concise, and easily understandable language, including the purpose, type, processing method, storage period of data collection, and users’ rights. For AI services, it should be specifically explained how AI models use user data for training and optimization.

   
   

4. Strengthen Data Security and Privacy Protection: Continuously invest resources to enhance data security protection capabilities, adopting technical measures such as encryption, anonymization, and pseudonymization to protect personal data. Establish a comprehensive data breach emergency response mechanism to ensure timely and effective responses in the event of a data breach.

   
   

5. Actively Communicate with Regulatory Authorities: Maintain open and active communication with data protection authorities in European countries to stay abreast of the latest regulatory requirements and enforcement trends. When facing compliance challenges, proactively cooperate with regulatory authorities to demonstrate the enterprise’s willingness and efforts toward compliance.

   
   

6. Monitor AI Regulatory Developments: Closely monitor the progress of emerging AI regulatory laws such as the EU’s “Artificial Intelligence Act,” anticipate future compliance requirements, and make strategic layouts and technical preparations in advance.

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