The OECD has introduced a robust framework for AI governance that emphasizes ethical principles, accountability, and transparency, addressing critical policy issues such as data governance and privacy to ensure compliance with emerging regulations and promote trust in AI technologies.
The Hangzhou Internet Court’s ruling on September 25, 2024, establishes that a Chinese AI platform is liable for contributory copyright infringement for generating unauthorized content, emphasizing the platform’s duty to monitor user-generated material and comply with intellectual property laws.
Utah’s HB 452 establishes regulations for AI mental health chatbots, defining user privacy protections and compliance requirements for digital health companies operating within the state.
The federal government has implemented new policies to streamline the acquisition and use of AI technologies, emphasizing compliance with privacy and intellectual property rights, risk management for high-impact systems, and promoting competition among vendors.
The Trump administration’s new executive orders prioritize innovation and competition in AI regulation, revoking Biden-era policies and mandating comprehensive reviews of federal AI practices while emphasizing data privacy and operational excellence.
The upcoming webinar, led by the “Data Policy and Innovation” unit of DG CNECT, will provide insights into the Digital Europe program’s “DIGITAL-2025-AI-08-COMPLIANCE” call, focusing on proposal development for digital solutions that automate compliance with EU legal requirements across various sectors.
