The U.S. Senate recently voted to eliminate a provision that would have prevented states from regulating AI for the next decade, leading to a surge in state-level legislative action on AI-related issues. As Congress struggles to create a unified federal framework, states are stepping in to establish their own regulations, emphasizing transparency and accountability in AI governance.
The U.S. Senate recently voted to eliminate a provision that would have prevented states from regulating AI for the next decade, leading to a surge in state-level legislative action on AI-related issues. As Congress struggles to create a unified federal framework, states are stepping in to establish their own regulations, emphasizing transparency and accountability in AI governance.
Meta has announced that it will not be signing the EU AI Act code of practice due to concerns about legal uncertainties and overreach that could hinder AI development in Europe. The company’s chief global affairs officer emphasized that such measures could stifle innovation for European businesses relying on advanced AI models.
The European Commission has published guidance for general-purpose AI models under the AI Act, clarifying the obligations for providers and defining what constitutes a general-purpose AI model. The guidance outlines compliance expectations, particularly for advanced models posing systemic risks, with a timeline for implementation starting from August 2025.
Transparency is essential for trustworthy AI, especially for high-risk systems under the EU AI Act, ensuring that AI decisions are clear and understandable to all stakeholders. This includes detailed documentation of the AI system’s design, operational logging for traceability, and providing clear instructions to users for proper utilization.
As concerns over the risks of AI grow, strengthening governance emerges as a way for Hong Kong to harness the technology safely. Experts advocate for a unified regulatory standard, robust privacy protection, and transparency to ensure responsible AI development in the city.
The European Commission has issued guidelines to assist AI models identified as having systemic risks in complying with the EU’s artificial intelligence regulation, known as the AI Act. Companies face significant penalties for violations, with the guidelines requiring evaluations, risk assessments, and cybersecurity measures for compliance.
Microsoft is expected to sign the European Union’s code of practice for artificial intelligence, while Meta Platforms has declined to do so, citing legal uncertainties. The code aims to ensure compliance with the EU’s AI regulations and requires companies to disclose training data.
Microsoft is expected to sign the European Union’s code of practice for artificial intelligence, while Meta Platforms has declined to do so, citing legal uncertainties. The code aims to ensure compliance with the EU’s AI regulations and requires companies to disclose training data.
Analysts note that Colorado’s upcoming AI law, which takes effect on February 1, 2026, is notable for its comprehensive requirements, mandating businesses to adopt risk management programs for high-risk AI systems. This legislation positions Colorado as a leader in state-level AI regulation, contrasting sharply with other states that have implemented more fragmented laws.