New Jersey has been recognized as a national leader in AI innovation, achieving the top-level designation of “Advanced” AI readiness. The state is making significant investments in AI development, including the establishment of the NJ AI Hub and the launch of the AI Innovation Challenge Administration Grant Program.
The European Union has released a voluntary General-Purpose AI Code of Practice to assist businesses in complying with the regulatory standards set by the EU AI Act. This code, developed with input from over 1,000 stakeholders, aims to ensure that AI models are both innovative and safe as the enforcement deadline approaches.
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.
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.
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.
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.
