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.
Colorado’s new AI law, set to take effect on February 1, 2026, requires businesses to implement risk management programs for high-risk AI systems, making it the most comprehensive AI legislation in the U.S. Analysts warn that the compliance requirements could be complex and burdensome for companies operating in multiple states.
In today’s fast-paced world, the allure of ‘good enough’ AI in compliance can lead to significant legal risks when speed compromises accuracy. Leaders must ensure that AI tools provide explainable outcomes and robust human oversight to avoid potential liabilities.
In today’s fast-paced world, the allure of ‘good enough’ AI in compliance can lead to significant legal risks when speed compromises accuracy. Leaders must ensure that AI tools provide explainable outcomes and robust human oversight to avoid potential liabilities.
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.
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.