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.
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.
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.
China’s advancements in artificial intelligence (AI) are increasingly driven by open-source collaboration among tech giants like Alibaba, Baidu, and Tencent, positioning the country to influence global AI governance. This approach contrasts with the more closed models prevalent in the U.S., reflecting China’s strategy to leverage state support and foster a domestic AI ecosystem.
As organizations increasingly adopt artificial intelligence (AI), it is essential to implement effective AI governance to ensure data integrity, accountability, and security. The nine-point framework outlined provides practical steps to help organizations transition from theory to execution in their AI governance efforts.
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.
The post discusses the increasing importance of artificial intelligence (AI) on the agendas of corporate boards, highlighting that many boards still lack sufficient knowledge and experience with AI. It emphasizes the need for proactive engagement and comprehensive oversight to leverage AI’s potential for innovation and operational efficiency.
The article discusses the role of sovereign public clouds in balancing innovation and compliance in the age of AI, emphasizing their importance for data sovereignty and security. It highlights how organizations in the UAE can leverage these solutions to drive digital transformation while adhering to local regulations.
This article discusses the governance and regulatory concerns surrounding generative artificial intelligence (GenAI) and large language models (LLMs) in medical education. It highlights the potential applications of these technologies while emphasizing the need for effective regulation and ethical considerations to ensure academic integrity and patient safety.
On May 7, 2025, the European Commission published a Q&A on the AI literacy obligation under the AI Act, clarifying that these requirements apply to all providers and deployers of AI systems. The Commission emphasizes the need for organizations to ensure a general understanding of AI among their staff and outlines key considerations for compliance.
