Category: AI Regulation

EU Commission’s New Guidelines on AI Systems Defined

The European Commission has published guidelines that clarify the definition of AI systems under the AI Act, providing examples and specifying which systems fall outside this definition. While the guidelines are non-binding, they serve as a useful resource for companies to determine their compliance with the AI Act.

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Biometrics and Regulation: Understanding the EU’s Legal Landscape

Biometric technologies are rapidly expanding beyond security and law enforcement into areas like customer sentiment analysis and employee monitoring, driven by advances in artificial intelligence. The EU’s regulatory framework, including the GDPR and the AI Act, governs the use of these technologies, imposing strict compliance obligations based on their risk classification.

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CII Advocates for Strong AI Accountability in Financial Services

The Chartered Insurance Institute (CII) has urged for clear accountability frameworks and a skills strategy for the use of artificial intelligence (AI) in financial services. They emphasize the importance of training professionals to take responsibility for AI outcomes and the need for transparency in AI systems to ensure consumer protection.

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Regulating AI in APAC MedTech: Current Trends and Future Directions

The regulatory landscape for AI-enabled MedTech in the Asia Pacific region is still developing, with existing frameworks primarily governing other technologies. While countries like China, Japan, and Australia are making strides towards comprehensive regulation, the U.S. currently relies on traditional medical device regulations for AI products.

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New York’s AI Legislation: Key Changes Employers Must Know

In early 2025, New York proposed the NY AI Act and the AI Consumer Protection Act to regulate the use of artificial intelligence, particularly addressing algorithmic discrimination in employment. These laws aim to empower consumers with rights against technology companies and ensure that AI systems are free from harmful biases.

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Managing AI Risks: Effective Frameworks for Safe Implementation

This article discusses the importance of AI risk management frameworks to mitigate potential risks associated with artificial intelligence systems. It highlights various types of risks, including data, model, operational, and ethical or legal risks, and emphasizes the need for responsible AI governance.

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

South Korea has established itself as a leader in AI regulation in Asia with the introduction of the AI Basic Act, which creates a comprehensive legal framework for artificial intelligence. This legislation, effective from January 2026, will significantly impact industries reliant on AI, including mobility, healthcare, and finance.

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AI Governance: Bridging the Transatlantic Divide

Artificial intelligence (AI) is rapidly reshaping economies, societies, and global governance, presenting both significant opportunities and risks. This chapter examines the divergent approaches of the United States and Europe in regulating AI, highlighting the need for thoughtful governance that balances innovation with the protection of civil liberties and democratic values.

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EU’s Ambitious Plan to Boost AI Development

The EU Commission is launching a new strategy to reduce barriers for the deployment of artificial intelligence (AI) across Europe, aiming to enhance the region’s competitiveness on a global scale. The initiative includes plans to construct “AI gigafactories” to boost data center infrastructure and promote wider adoption of AI technologies among European businesses.

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