Category: Regulatory Framework

EU’s AI Act Faces Guidance Gaps as Prohibitions Loom

Civil society groups are raising concerns over the lack of guidance from the European Commission on banned AI systems as the enforcement date for the AI Act approaches on February 2. The Act includes provisions for prohibiting certain AI systems, but exceptions for public interest could lead to potential abuses, according to critics.

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Understanding the AI Act: Key Changes and Compliance Steps

The European Regulation on Artificial Intelligence (AI Act), adopted by the Council of the European Union on May 21, 2024, aims to ensure the ethical and safe use of AI systems within the EU. It establishes a risk-based approach to regulate AI technologies, imposing various obligations on providers and users based on the identified risk levels.

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Texas Risks Innovation with Aggressive AI Regulation

Texas’s proposed AI law, the Texas Responsible AI Governance Act, introduces strict regulations that could hinder innovation in the state. While aiming to address risks associated with artificial intelligence, the legislation may impose heavy burdens on companies, potentially jeopardizing significant projects like the $500 billion Stargate Project.

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Texas Takes the Lead in AI Regulation with TRAIGA

The Texas Responsible AI Governance Act (TRAIGA) proposes comprehensive regulations for AI, focusing on high-risk systems and their developers. It aims to prohibit certain AI uses while providing limited rights for private litigants and exemptions for small businesses.

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South Korea’s AI Basic Act: A New Era of Regulation

South Korea’s AI Basic Act will require AI providers to establish an in-country representative to ensure compliance with safety and governance requirements. The legislation aims to stimulate investment in the AI industry while promoting responsible oversight and innovation.

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Korea’s AI Basic Act: Pioneering Responsible Innovation

The “Basic Act on Artificial Intelligence (AI) Development and Trust Building” recently passed in South Korea aims to balance regulation and promotion of AI technologies, positioning the country as a leader in AI legislation. It establishes a framework for responsible AI advancement while prioritizing job creation and transparency in high-impact AI applications.

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Impact of the EU AI Act on National Administrative Law

The EU AI Act, adopted in June 2024, represents a significant regulatory effort to oversee artificial intelligence across member states, influencing how public authorities utilize AI systems in various administrative contexts. By establishing procedural obligations and triggering the application of EU fundamental rights principles, the AI Act may lead to the Europeanisation of national administrative law and reshape the interplay between EU and domestic public law in digital regulation.

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Texas Takes a Stand: The TRAIGA AI Bill and Its Implications

A new state-level AI bill in Texas, known as the Responsible AI Governance Act (TRAIGA), aims to regulate the use of AI and prevent discrimination by imposing compliance obligations on developers and deployers of high-risk AI systems. The bill could have significant implications for AI deployment in Texas, especially in areas like recruitment, while critics warn it may lead to overreach and complicate federal AI regulation efforts.

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Texas Takes the Lead in AI Regulation with New Governance Bill

Texas Representative Giovanni Capriglione has filed House Bill 1709, the proposed Texas Responsible Artificial Intelligence Governance Act, to create comprehensive regulations for AI development. The bill aims to ensure public trust and safety while fostering innovation in the state’s rapidly evolving AI landscape.

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AI Regulation in the U.S.: Current Landscape and Future Directions

The document discusses the current state of AI regulation in the United States, highlighting the reliance on existing federal laws while noting the challenges posed by a patchwork of state and local regulations. It outlines various proposed AI bills in Congress aimed at addressing issues such as safety, privacy, and discrimination in AI applications.

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