Category: AI Governance

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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States Take Charge: The Future of AI Regulation

The current regulatory landscape for AI is characterized by significant uncertainty and varying state-level initiatives, following the revocation of federal regulations. As enterprises navigate this complex environment, they must adapt to a patchwork of evolving laws that impact data privacy and AI governance.

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The Hidden Dangers of Shadow AI Agents

The article discusses the importance of governance for AI agents, emphasizing that companies must understand and catalogue the AI tools operating within their environments to ensure responsible use. It highlights the need for visibility and monitoring to prevent potential risks and failures that could disrupt business processes.

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AI Governance: Bridging the Leadership Gap

As we advance into the era of intelligent machines, organizations are compelled to rethink leadership and oversight due to AI’s capacity to make decisions and design strategies. The urgency for ethical governance in AI is paramount, as boards must navigate the complexities of this technology while ensuring accountability and human dignity.

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AI Governance: Bridging the Leadership Gap

As we advance into the era of intelligent machines, organizations are compelled to rethink leadership and oversight due to AI’s capacity to make decisions and design strategies. The urgency for ethical governance in AI is paramount, as boards must navigate the complexities of this technology while ensuring accountability and human dignity.

Read More »