The European Commission is inviting experts to apply for its newly established AI Act Advisory Forum, which will provide crucial guidance on the implementation of the EU’s AI Act aimed at ensuring responsible AI usage. This forum seeks a diverse range of professionals to ensure balanced representation and address the multifaceted challenges of AI regulation.
EY’s study reveals a significant disconnect between CEOs’ perceptions of AI concerns and actual public sentiment, with consumers expressing greater worries about issues like data privacy and misinformation. To bridge this gap, EY proposes a nine-point framework aimed at fostering responsible AI governance and addressing consumer apprehensions.
IBM has introduced tools to help organizations manage AI systems they may be unaware of, addressing the growing challenge of shadow AI. With a significant number of employees using unapproved AI tools, the company aims to unify governance and security to mitigate associated risks.
Utah State Rep. Doug Fiefia has been appointed to co-chair a national task force aimed at shaping state-level artificial intelligence policies. The task force, organized by the Future Caucus, intends to counteract partisan gridlock and provide lawmakers with the necessary resources for effective AI governance.
Utah State Rep. Doug Fiefia has been appointed to co-chair a national task force aimed at shaping state-level artificial intelligence policies. The task force, organized by the Future Caucus, intends to counteract partisan gridlock and provide lawmakers with the necessary resources for effective AI governance.
On June 22, 2025, Texas enacted the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), making it the second state to implement comprehensive AI regulations. The Act establishes prohibitions on certain AI practices and aims to protect consumers while promoting responsible AI development.
A recent study reveals that while 93 percent of UK organizations are using AI, only seven percent have implemented proper governance frameworks to manage associated risks. This gap highlights the urgent need for updated software development processes that address AI-specific challenges such as model bias and explainability.
As organizations increasingly adopt generative AI tools, particularly in human resources, conducting thorough AI audits is essential to mitigate legal, operational, and reputational risks. A well-planned audit not only identifies potential issues but also informs the development of relevant AI policies and training.
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.
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.
