Category: AI Regulation

The Legal Dilemma of AI Personhood

As artificial intelligence systems evolve to make decisions and act independently, the legal frameworks that govern them are struggling to keep pace. This raises critical questions about whether AI should be granted legal personhood, as it blurs the lines of accountability and responsibility in areas such as contract and tort law.

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Data Provenance: The Foundation of Effective AI Governance for CISOs

The article emphasizes the critical role of data provenance in ensuring effective AI governance within organizations, highlighting the need for continuous oversight and accountability in AI interactions. It argues that traditional governance policies are insufficient and that a robust infrastructure focused on data lineage is essential for building trust in AI systems.

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Balancing AI Governance in the Philippines

A lawmaker in the Philippines, Senator Grace Poe, emphasizes the need for a balanced approach in regulating artificial intelligence (AI) to ensure ethical and innovative use of the technology. She warns against over-regulating AI while recognizing its potential benefits and the importance of public consultation in developing guidelines.

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EU AI Regulation: A Blueprint and Caution for U.S. Lawmakers

The European Union’s AI Act serves as both a model and a cautionary tale for U.S. lawmakers, highlighting the balance between necessary consumer protections and the risks of overregulation. Experts warn that excessive regulations could hinder the U.S.’s competitive edge in the global AI landscape.

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California Lawmakers Challenge Federal AI Regulation Overreach

A bipartisan group of California lawmakers is urging Congress to remove a provision from a federal tax bill that would prevent states from regulating artificial intelligence for the next decade. They argue that this provision threatens public safety and undermines state sovereignty, especially given California’s significant role in the AI industry.

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Federal Overreach: The Implications of a 10-Year AI Regulation Ban

The United States is on the verge of enacting a federal measure that would impose a ten-year ban on state regulations concerning artificial intelligence (AI), a provision included in President Trump’s ‘One Big Beautiful Bill Act (OBBBA) 2025.’ This decision has sparked significant opposition from various lawmakers and civil society groups, who express concerns over the potential risks to consumer protection and regulatory oversight.

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Regulating the Future of AI: Nine Key Approaches

Since 2016, over thirty countries have enacted laws addressing Artificial Intelligence, and discussions about AI regulation are intensifying globally in 2025. UNESCO’s consultation paper outlines nine regulatory approaches to AI, ranging from light-touch measures to more coercive regulations, highlighting the need for a balanced framework in AI governance.

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Indonesia and Slovakia Forge Partnership for Inclusive AI Governance

The governments of Indonesia and Slovakia are exploring an alliance to develop inclusive global governance for artificial intelligence (AI), discussed during a recent meeting in Jakarta. This collaboration aims to address disparities in AI development and enhance mutual learning in AI regulation ahead of the upcoming Global Partnership on AI Summit in Slovakia.

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Urgent Need for AI Regulations to Protect Democracy

Digital communication expert Henri Subiakto emphasizes the urgent need for regulations governing the use of artificial intelligence (AI) in Indonesia to prevent misuse of AI-generated content. He advocates for the Indonesian government to reference the European Act on AI, which prioritizes democratic principles and addresses the complexities arising from AI usage.

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Establishing Legal Accountability for Autonomous AI Agents

The proposed legal framework aims to register and regulate AI agents and systems similarly to business entities, ensuring accountability and liability in case of failures. By establishing legal personhood for AI, the framework seeks to foster responsible development and deployment, addressing the ethical and legal challenges posed by increasingly autonomous AI technologies.

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