On June 22, 2025, Texas enacted the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), making it the second state to implement comprehensive AI regulations. The Act establishes prohibitions on certain AI practices and aims to protect consumers while promoting responsible AI development.
The European Union’s AI Act, which categorizes artificial intelligence models based on risk levels, aims to balance innovation with safety. As of August 2, compliance is mandatory for general-purpose AI models and those identified as posing systemic risks, with significant penalties for non-compliance.
A recent study reveals that while 93 percent of UK organizations are using AI, only seven percent have implemented proper governance frameworks to manage associated risks. This gap highlights the urgent need for updated software development processes that address AI-specific challenges such as model bias and explainability.
The EU AI Act proposes a framework to regulate AI, focusing on “high-risk” systems and emphasizing the importance of data governance to prevent biases and discrimination. Article 10 outlines strict standards for the datasets used in high-risk AI systems, ensuring they are suitable and reliable for their intended purposes.
The EU AI Act proposes a framework to regulate AI, focusing on “high-risk” systems and emphasizing the importance of data governance to prevent biases and discrimination. Article 10 outlines strict standards for the datasets used in high-risk AI systems, ensuring they are suitable and reliable for their intended purposes.
The European Commission has released a voluntary Code of Practice for general-purpose AI models to help industry comply with the AI Act’s obligations on safety, transparency, and copyright. The AI Office invites providers to sign the Code, which will be publicly listed on 1 August 2025, ahead of the Act’s obligations taking effect.
The post discusses the systemic risks associated with AI models and provides guidance on how to comply with the EU AI regulations. It highlights the importance of understanding these risks to ensure responsible AI development and implementation.
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 European Union has released a voluntary General-Purpose AI Code of Practice to assist businesses in complying with the regulatory standards set by the EU AI Act. This code, developed with input from over 1,000 stakeholders, aims to ensure that AI models are both innovative and safe as the enforcement deadline approaches.
More than 30 European music creators are urging EU policymakers to uphold the copyright and transparency obligations of the EU AI Act, warning that generative AI developers may exploit their music without consent. They are concerned that the implementation of this law is being weakened, jeopardizing artists’ rights and the transparency intended for AI companies.