More than 30 European music creators are urging EU policymakers to uphold the copyright and transparency obligations of the EU AI Act, warning that generative AI developers may exploit their music without consent. They are concerned that the implementation of this law is being weakened, jeopardizing artists’ rights and the transparency intended for AI companies.
Ireland is required to identify the regulators responsible for enforcing the EU AI Act within weeks, yet the State remains uncertain about who these regulators will be. This lack of clarity poses significant concerns for regulators, citizens, and businesses as the deadline approaches.
Ireland is required to identify the regulators responsible for enforcing the EU AI Act within weeks, yet the State remains uncertain about who these regulators will be. This lack of clarity poses significant concerns for regulators, citizens, and businesses as the deadline approaches.
This guide explores the critical concepts of AI transparency, explainability, and interpretability, emphasizing the need for clear definitions and actionable recommendations. It synthesizes insights from various governance frameworks and standards to provide a comprehensive approach to implementing these principles in AI systems.
On July 10, 2025, the European Commission published the final version of the General-Purpose AI Code of Practice, which aims to provide a framework for compliance with certain provisions of the EU AI Act. While adherence to the AI Code is voluntary, organizations that choose to comply can benefit from a reduced administrative burden and greater legal certainty.
This article discusses the importance of procurement processes in the adoption of AI technologies by local governments, highlighting how loopholes can lead to a lack of oversight. It emphasizes the need for consistent governance norms to ensure responsible AI practices and accountability in public sector acquisitions.
Tokio Marine Holdings has established a formal AI governance framework to guide its global operations in developing and using artificial intelligence. The policy emphasizes transparency, human oversight, and the elimination of bias while aligning with regulatory expectations in Japan, the U.S., and Europe.
Generative AI (GenAI) is rapidly becoming integral to business operations, often without proper oversight or approval, leading to what is termed as Shadow AI. Companies must establish clear governance policies to ensure safe and compliant usage of these powerful tools, preventing potential risks associated with unmonitored applications.
The article discusses the complexities of regulating artificial intelligence (AI) as various countries adopt different approaches to governance, resulting in a fragmented landscape. It explores how these regulatory strategies can influence global standards and the behavior of technology companies within this evolving environment.
The article discusses the complexities of regulating artificial intelligence (AI) as various countries adopt different approaches to governance, resulting in a fragmented landscape. It explores how these regulatory strategies can influence global standards and the behavior of technology companies within this evolving environment.
