California has enacted a new law, known as “SB 53,” to regulate the use of artificial intelligence, marking a significant step in controlling its development in the state. This law follows the pioneering European AI Act and aims to balance innovation with necessary oversight.
According to a Gartner survey, AI regulatory violations are projected to lead to a 30% increase in legal disputes for tech companies by 2028. The survey also reveals that over 70% of IT leaders view regulatory compliance as a major challenge in deploying generative AI tools.
The EU AI Act is now in effect, introducing several obligations for AI providers, particularly those offering general-purpose AI (GPAI). To ensure compliance, companies should maintain a detailed inventory of their AI models, datasets, prompts, and decision logs, while adhering to technical documentation and copyright transparency requirements.
Korea’s Fair Trade Commission is set to launch an AI-powered platform aimed at preventing unfair subcontracting practices, significantly benefiting startups and SMEs. This initiative, backed by a budget of KRW 1.8 billion, is expected to enhance contract fairness, reduce legal risks, and promote transparency in the innovation supply chain.
As AI technology rapidly evolves, CFOs must proactively govern emerging solutions, starting with low-risk applications to build confidence within their teams. Ensuring data quality and maintaining human oversight are essential for establishing trust and compliance as AI becomes integral to finance functions.
Agentic AI is revolutionizing AML investigations by significantly reducing the burden of false alerts and streamlining the investigative process for analysts. This innovative approach not only enhances efficiency but also ensures compliance and improves the quality of financial crime investigations.
This guide provides a practical approach to integrating the NIST AI Risk Management Framework and ISO 42001 into a cohesive AI governance strategy, highlighting how to effectively manage risk and ensure compliance. By combining the flexible guidance of NIST with the structured requirements of ISO, organizations can create a robust governance program tailored to their specific needs.
California has recently implemented regulations concerning the use of automated-decision systems in employment, aimed at preventing discrimination and ensuring transparency. Employers must now prepare to comply with these regulations by conducting risk assessments and providing proper notices to employees and applicants.
States are increasingly regulating the use of artificial intelligence (AI) in political advertising, imposing new obligations on campaigns and vendors, particularly around disclaimers for synthetic content and distribution limits near elections. Noncompliance can lead to serious consequences, including legal liability and reputational damage, necessitating proactive risk management by political advertisers and platforms.
California has enacted groundbreaking AI safety legislation to regulate high-compute AI models and mandate incident disclosures. This law aims to enhance transparency and accountability in AI technology, addressing the urgent need for safety protocols as AI systems continue to evolve and influence various sectors.
