The article discusses the contrasting approaches to AI regulation between Canada, which is moving towards stronger oversight, and the U.S., where deregulation is being promoted. It emphasizes the risks associated with unregulated AI in financial markets, such as increased inequality and the potential for systemic collapse.
A coalition of journalists, publishers, and film industry leaders has expressed strong opposition to the latest draft of the EU’s AI Act regulations, arguing that it fails to protect copyright holders’ rights. They warn that the proposed “code of practice” undermines the essential safeguards necessary for authors and creators against the misuse of their content by AI companies.
The article discusses the risks associated with AI deregulation in the U.S., particularly under President Trump’s administration, which may leave financial institutions vulnerable to unchecked algorithms. It highlights the need for robust regulatory frameworks to balance innovation and economic stability, especially in the wake of past financial crises.
The Artificial Intelligence Act (AI Act) is the first comprehensive legal framework for regulating AI, requiring high-risk AI systems to maintain a high level of cybersecurity to protect against malicious attacks. Cybersecurity is essential not only for high-risk systems but for all AI systems that interact with users or process data, as it impacts trust, reputation, and compliance.
Virginia’s Governor, Glenn Youngkin, vetoed a bill aimed at regulating “high-risk” AI systems, expressing concerns that it would hinder the AI industry and economic growth. Meanwhile, Colorado’s AI Impact Task Force has identified areas for improvement in their existing AI law ahead of its effective date in February 2026.
The article discusses the varying approaches to regulating artificial intelligence (AI) across different Asian countries, highlighting both the potential benefits and the risks associated with generative AI technologies. It emphasizes the need for comprehensive regulatory frameworks to address issues such as data compliance, algorithm accountability, and ethical considerations in the development and deployment of AI systems.
The EU AI Office has released a new draft of the Code of Practice that outlines obligations for general-purpose AI model providers under the EU AI Act, emphasizing compliance with copyright law. The draft aims to provide clearer guidance on copyright-related measures while allowing for proportionality based on the size and capacity of individual providers.
On March 18, the California Joint Policy Working Group on AI Frontier Models released a draft report on regulating foundation models, aiming to provide an evidence-based foundation for AI policy decisions. The report emphasizes the importance of transparency, third-party risk assessments, and adverse event reporting in shaping effective AI governance.
EU lawmakers are opposing the European Commission’s proposal to make more requirements of the AI Act voluntary, a move that could favor large AI developers like Google and OpenAI. This proposal faces strong backlash from the European Parliament, which argues that weakening the AI Act could threaten Europe’s economy and democracy.
Negotiators of the AI Act have expressed concerns regarding the neglect of fundamental rights in a key implementation document. A letter signed by leading MEPs and the Spanish minister highlights the importance of addressing these issues to ensure effective implementation.
