On June 22, 2025, Texas Governor Greg Abbott signed into law the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), which establishes a comprehensive regulatory framework for artificial intelligence. The law imposes disclosure, consent, and compliance requirements on entities using AI systems, set to take effect on January 1, 2026.
The rebranding of the US AI Safety Institute to the Center for AI Standards and Innovation signifies a shift in national priorities from safety and accountability to innovation and speed. This change raises important questions about who defines the standards and how they will impact safety protocols previously emphasized by the AISI.
Artificial Intelligence (AI) is transforming the telecommunications sector by enhancing operations and delivering value through innovations like IoT services and smart cities. However, the effectiveness of AI relies heavily on the quality and governance of the data that fuels its models.
The article discusses the ongoing debate over AI regulation, emphasizing the recent passage of legislation that could impact state-level control over AI. It highlights the tension between innovation and regulation, with arguments from experts indicating that effective oversight is necessary to protect public interests while fostering technological advancement.
The recent announcement from the EU Commission confirming that there will be no delay to the EU AI Act has sparked significant reactions, with many claiming both failure and victory. Companies are urged to take action now to ensure compliance, particularly with upcoming deadlines for General Purpose AI Models and AI Systems providers.
The Trump administration is preparing to introduce new restrictions on AI chip exports to Malaysia and Thailand to prevent advanced processors from reaching China. These regulations could create volatility for cyclical tech stocks while allowing US data center operators to continue importing AI chips without significant disruption.
In a significant move, BRICS nations have urged the United Nations to take the lead in establishing global regulations for artificial intelligence (AI). This initiative highlights the growing consensus on the need for structured governance to ensure that AI technologies benefit all countries equitably and responsibly.
In today’s competitive landscape, deploying Large Language Models (LLMs) requires a robust LLMOps framework to ensure reliability and compliance. Python’s rich ecosystem serves as a linchpin, integrating prototyping, monitoring, and governance into a seamless production workflow.
The Asia-Pacific region is experiencing a rapid expansion of AI-powered surveillance technologies, especially from Chinese companies, yet lacks the governance frameworks to regulate their use effectively. This creates a significant risk as these technologies can be repurposed to consolidate political control and suppress dissent.
Artificial intelligence (AI) is revolutionizing tax compliance by automating processes, improving accuracy, and enhancing efficiency in tax operations. With its ability to analyze large datasets, AI provides valuable insights that help businesses navigate the complexities of tax regulations and optimize their strategies.