According to DeepLearning.AI, the European Union has published a 'General Purpose AI Code of Practice' that outlines voluntary steps developers can take to align with the AI Act's requirements for general‑use models. The code specifically directs developers of models considered to pose 'systemic risks' to rigorously document data sources, maintain detailed logs, and adopt transparent development practices. This initiative provides AI companies with practical guidelines to ensure compliance, reduce regulatory uncertainty, and build trustworthy AI systems for the European market. The code is expected to accelerate adoption of responsible AI frameworks in commercial AI product development, highlighting business opportunities for compliance consulting, auditing, and data governance solutions (source: DeepLearning.AI, August 2, 2025).

According to @OpenAI, the company has issued an official statement detailing its approach to The New York Times’ data demands, emphasizing measures to protect user privacy in the context of AI model training and deployment. OpenAI clarified that its AI systems are designed to avoid retaining or misusing user data, and it is actively implementing safeguards and transparency protocols to address legal data requests while minimizing risks to user privacy. This move highlights the growing importance of robust data governance and privacy protection as AI models become more deeply integrated into enterprise and consumer applications. OpenAI’s response sets a precedent for balancing legal compliance with user trust, offering business opportunities for AI solution providers focused on privacy-compliant data handling and model training processes (source: OpenAI, June 6, 2025).