A new online assessment tool offered by SAS helps insurers develop their AI governance frameworks at no cost. This tool allows organizations to assess their current AI strategies and provides customized recommendations for improvement.
During the AI Health Law & Policy Summit, panelists discussed the complexities of the EU’s AI Act and the challenges of global regulatory compliance for AI-enabled medical products. Experts emphasized the importance of proactive engagement with regulatory bodies and the need for companies to adapt their governance frameworks to meet evolving compliance requirements.
The letter expresses concern over a clause in H.R. 1 that would prohibit state or local governments from regulating artificial intelligence for the next 10 years. It warns that this moratorium could allow unelected officials to deploy AI systems without public accountability, raising significant risks for future administrations.
The European Union (EU) is at a pivotal moment in its approach to artificial intelligence (AI), balancing the need for robust regulation with the drive for innovation to remain competitive against the United States and China. As it pivots toward a more innovation-focused strategy, concerns arise over potential risks to democratic safeguards and the EU’s credibility as a leader in ethical AI governance.
ABBA’s Björn Ulvaeus and other EU creators are advocating for creators’ rights in the generative AI market, highlighting concerns over potential loss of ownership of their works under the EU’s AI Act. They emphasize the need for legislation that protects creators’ interests while fostering innovation in the tech industry.
Japan’s AI governance strategy for 2025 adopts a ‘light touch’ regulatory approach, favoring existing sector-specific laws and voluntary risk mitigation by businesses over strict regulations. This shift aims to position Japan as the most AI-friendly country in the world, reflecting evolving global attitudes towards AI regulation amidst a heated international AI race.
As artificial intelligence (AI) continues to evolve, organizations must prioritize safe practices to mitigate security risks, including personal data privacy concerns. A recent compliance survey revealed that while many companies utilize AI, only a portion have established policies to address data protection and governance.
As artificial intelligence transforms healthcare, organizations must navigate the associated risks and ethical dilemmas without robust governance, risk management, and compliance frameworks. Newton3 specializes in helping healthcare leaders ensure that AI deployments are impactful, accountable, and aligned with regulatory standards.
As AI reshapes Singapore and the world, organizations must address the array of risk management challenges that this transformative technology brings. A standardized approach incorporating global consensus is essential for guiding organizations in balancing innovation with effective risk management.
Society is undergoing a transformation driven by artificial intelligence (AI), which raises essential questions about how to maximize its benefits while minimizing risks. Key elements for AI success include robust infrastructure, an inclusive ecosystem, and effective governance to ensure that AI serves the broader interests of society.
