As AI becomes increasingly integral to business operations, transaction parties must carefully evaluate a target company’s AI usage during due diligence. Key considerations include regulatory compliance, intellectual property ownership, data integrity, and representation and warranty insurance implications.
As artificial intelligence (AI) usage surges, compliance with emerging laws and ethical standards becomes critical. This article explores key AI compliance challenges and real-life failures that underscore the importance of ethical AI deployment.
South Korea has introduced what it claims to be the world’s most comprehensive AI regulations, requiring companies to label AI-generated content. However, the legislation faces criticism from tech startups and civil society groups, highlighting concerns over both excessive and insufficient protection measures.
APAC sovereign investors are transitioning from cautious observation to active engagement in AI, expanding investments in cloud infrastructure, data centers, and semiconductors. This shift is marked by internal adoption of AI tools to improve operations and a broader commitment to responsible innovation and governance.
Home Control International Limited has partnered with Nanyang Technological University, Singapore, to advance AIoT home healthcare technology and R&D. The collaboration focuses on data security, innovative healthcare solutions, and the commercialization of AI-driven healthcare products.
The EU AI office has published its first draft Code of Practice on transparency for AI-generated content, offering voluntary guidelines to ensure AI outputs are properly marked and labeled. These guidelines set obligations for AI system providers and deployers to improve user awareness and transparency.
A European team led by AZTI has developed a framework outlining three essential pillars for reliable, ethical, and scientifically robust marine AI. This framework aims to improve decision-making in marine research, fisheries, and environmental management, ensuring AI tools are trustworthy and beneficial for ecosystems and communities.
Korea’s AI Basic Act transitions from regulation to practical compliance, creating a divide between startups able to adapt and those facing challenges. Despite government support, many founders struggle with compliance, risking innovation and competitiveness in Korea’s evolving AI landscape.
Korea’s AI Basic Act, effective January 22, 2026, establishes broad obligations for companies developing AI technologies, but vague definitions and unclear standards create uncertainty, potentially hindering innovation and complicating compliance efforts.
An international study provides a practical framework for using AI in ocean conservation, highlighting transparency, ethics, and scientific validation to ensure AI supports informed decision-making in marine ecosystems.
