Apple’s Live Translation feature for AirPods, designed to enhance real-time communication through AI, will not be available to EU users due to strict regulations. This decision highlights ongoing challenges between tech companies and European regulators regarding data privacy and AI compliance.
The EU AI Act establishes a comprehensive legal framework to regulate artificial intelligence, focusing on transparency and human oversight in customer service interactions. Companies must prepare to comply with these regulations by August 2, 2026, ensuring responsible AI use that builds customer trust and mitigates risks of hefty fines.
U.S. Senator Ted Cruz has introduced a bill that would allow artificial intelligence companies to apply for regulatory exemptions to foster innovation. The proposal includes a two-year exemption period and requires companies to outline potential risks while addressing concerns from consumer advocacy groups about the implications of such regulatory changes.
As organizations rapidly adopt AI, the need for a scalable AI governance program becomes crucial to manage the risks associated with this technology. This guide emphasizes the importance of defining roles, implementing strong frameworks, and ensuring continuous oversight to facilitate responsible AI deployment across enterprises.
This guide emphasizes the importance of AI governance for developers, positioning it as a crucial framework to ensure that AI systems are ethical, compliant, and safe. By integrating governance into the development lifecycle, developers can proactively address risks such as bias and privacy violations while building trustworthy AI solutions.
It remains unclear whether OpenAI is complying with the EU’s AI Act training data disclosure requirements for its latest model, GPT-5, which was released shortly after the deadline for compliance. Although OpenAI has signed the EU’s code of practice, it has yet to publish a training data summary or a copyright policy for GPT-5.
This post presents a comprehensive AI Risk & Governance Checklist that helps organizations ensure compliance with the EU AI Act. It covers key areas such as risk identification, governance, data management, transparency, human oversight, testing, monitoring, impact assessment, regulatory compliance, security, and training.
Senator Ted Cruz has introduced a new AI regulation proposal called the Sandbox Act, which allows developers to test and launch AI technologies without federal oversight. The bill aims to promote American innovation while addressing public safety and ethical considerations.
The EU’s AI Act emphasizes that risk governance, transparency, and accountability are essential for compliance. As organizations explore the potential of Agentic AI, they must adapt their compliance strategies to address the complexities and risks introduced by these autonomous systems.
This guide outlines how to effectively assess the risks associated with artificial intelligence (AI) systems through an Artificial Intelligence Impact Assessment (AIIA). It emphasizes the importance of creating a repeatable framework that addresses potential biases, privacy concerns, and the broader societal impacts of AI technologies.