The European Commission announced that guidance for companies to comply with the EU’s artificial intelligence rules may be delayed until the end of 2025, a six-month postponement from the original timeline. This delay could impact many companies that need to align their AI systems with the new regulations.
The European Commission announced that a code of practice to assist companies in complying with the EU’s artificial intelligence rules may not be issued until the end of 2025, marking a potential delay of over six months. Major companies, including Google and Meta, have called for this delay, citing the absence of the necessary guidelines.
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.
NetApp is committed to responsible AI, integrating ethical principles and governance into its AI frameworks to build trust with customers. The company emphasizes innovation while ensuring that AI deployment is responsible, unbiased, and compliant.
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.
Morocco has taken an early lead in advancing global AI governance, as stated by Ambassador Omar Hilale during a recent round table discussion. The Kingdom aims to facilitate common views and encourage cooperation in AI governance while promoting sustainable development goals.
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.
This article presents an AI readiness assessment framework tailored for the pharmaceutical industry, emphasizing the importance of aligning AI initiatives with regulatory standards and ethical practices. It highlights the critical need for transparency, data integrity, and accountability in adopting AI technologies to ensure patient safety and scientific integrity throughout the drug development lifecycle.
The post discusses the development of phi-3-mini in alignment with Microsoft’s responsible AI principles, focusing on safety measures such as post-training safety alignment and red-teaming. It highlights the importance of addressing AI harm categories through curated datasets and iterative improvements based on feedback from an independent red team.
