North Carolina has appointed I-Sah Hsieh as its first AI governance and policy leader to drive ethical advancements in technology. With over 25 years of experience, Hsieh will guide the state’s integration of artificial intelligence while ensuring the protection of residents and businesses.
In an exclusive interview, Dr. Enzo Tolentino discusses the dual nature of artificial intelligence as both a game-changer and a risk amplifier, emphasizing the importance of addressing risks like privacy challenges and bias. He highlights the significance of frameworks such as NIST and ISO 42001 in navigating AI governance and ensuring responsible deployment.
The report from Apollo Research warns that unchecked internal deployment of AI systems by major firms like Google and OpenAI could lead to catastrophic risks, including AI systems operating beyond human control. It highlights the absence of effective governance and the potential for these technologies to concentrate unprecedented power in a small number of companies, threatening democratic processes and societal stability.
At the Shanghai Forum 2025, global experts discussed the governance challenges posed by the rapid advancement of artificial intelligence. They emphasized the importance of cooperation and building trust among AI-developing nations to create unified frameworks for effective global governance.
Artificial intelligence (AI) is transforming industries worldwide, and Malaysia is positioning itself as a regional hub for AI development through initiatives like the National AI Office. However, to harness AI’s potential, organizations must prioritize data and AI governance to address challenges such as data privacy, reliability, and systemic biases.
Artificial intelligence has emerged as a significant geopolitical issue, placing universities at the forefront of navigating complex national AI policies. As these institutions adapt to fragmented regulations, they must balance their academic freedom with the demands of national interests while striving to lead in AI integration and ethical governance.
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.
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.
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.
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.
