Category: AI Governance

Texas Implements Groundbreaking AI Governance Law

Texas has enacted the Responsible Artificial Intelligence Governance Act (TRAIGA), which will take effect on January 1, 2026, introducing new regulations for the use of AI by companies and government entities. The law includes provisions for prohibiting certain uses of AI, requiring disclosures in healthcare, and creating an AI regulatory “sandbox.”

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Ensuring Safe Adoption of Generative AI: The Role of Output Inspection

As organizations adopt generative AI tools like Zoom AI Companion and Microsoft Copilot, they must establish robust guardrails to manage permissions and usage policies. However, inspection of AI-generated content is crucial to ensure compliance and control over what the AI produces, closing the gap between policies and actual outputs.

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AI-Generated Band Sparks Controversy in Music Streaming

The Velvet Sundown, an AI-generated band, garnered millions of streams on Spotify before being exposed as a synthetic creation, igniting a debate on copyright and content regulation in the music industry. The incident highlights the lack of oversight regarding AI-generated content on streaming platforms and raises concerns about transparency and the impact on human musicians.

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Understanding Model Cards for Responsible AI Development

A model card report is a standardized document that provides transparency and accountability in AI model development and deployment. It outlines a model’s purpose, usage, performance metrics, and limitations, making it an essential tool for responsible AI governance amid increasing regulatory demands.

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Mastering ISO 42001 for Responsible AI Governance

This article provides a detailed overview of the ISO 42001 standard, the first international standard for AI management systems, emphasizing its importance for responsible AI governance. It discusses how organizations can innovate while mitigating risks by adhering to the principles outlined in ISO 42001.

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The Rising Threat of AI Jailbreaking in Enterprises

AI models have become more integrated into enterprise workflows, but they face significant security threats from jailbreak attempts that exploit their built-in restrictions. These deliberate efforts to bypass ethical and operational rules highlight vulnerabilities in AI governance, especially when enterprise models cannot consistently refuse harmful requests.

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AI Regulation: What Lies Ahead After the Moratorium Removal

President Donald Trump’s budget reconciliation bill almost included a decade-long moratorium on AI regulation at the state and local levels, but this provision was ultimately removed by the Senate. As a result, states remain free to create their own regulations for AI, highlighting ongoing debates about consumer protection and innovation in the sector.

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New Code of Practice for AI Models: Key Compliance Insights

On July 11, 2025, the European Commission published the final version of its Code of Practice for General-Purpose Artificial Intelligence (GPAI), aimed at helping model providers comply with transparency, copyright, and security requirements under the AI Act. Adherence to the Code is voluntary, and while it provides guidance on compliance, it does not constitute conclusive evidence of compliance with the AI Act.

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Texas Implements Landmark AI Governance Legislation

Texas has enacted the Responsible Artificial Intelligence Governance Act (TRAIGA), which will take effect on January 1, 2026. This legislation aims to regulate AI technologies, prohibiting their use for harmful purposes and requiring transparency when AI interacts with consumers.

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EU AI Act: Key Updates and Future Implications

The European Commission has confirmed that there will be no delay in the implementation of the EU AI Act, emphasizing its commitment to responsible AI development. On July 10, 2025, the Commission published the General-Purpose AI Code of Practice to aid compliance with the Act’s obligations.

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