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If you thought developing and implementing your AI system was a challenge, just wait until you attempt to ensure your AI system complies with conflicting international laws simultaneously.

As artificial intelligence continues to become widely embedded in critical business decisions, strategies, and processes, it increasingly faces growing scrutiny from regulators, customers, and the public. While AI offers unprecedented opportunities for operational enhancements and innovation, it also introduces new risks.

Colorado is leading the charge of U.S. AI policy with the Consumer Protections for Artificial Intelligence (SB24-205) law. This law, commonly referred to as the Colorado AI Act (CO AI Act), is the first enacted comprehensive state law regulating high-risk AI systems. Signed in May 2024, it sets a precedent for balancing innovation with consumer protection through requirements on transparency, accountability, and fairness.

The S&P study on Generative AI asserts that, “The percentage of companies abandoning the majority of their AI initiatives before they reach production has surged from 17% to 42% year over year, with organizations on average reporting that 46% of projects are scrapped between proof of concept and broad adoption.”

Organizations are under increasing pressure to secure and govern their AI systems responsibly. Fortunately, industry frameworks are stepping in to help, including the Cloud Security Alliance (CSA) Artificial Intelligence Controls Matrix (AICM), which maps to the ISO 42001 standard for AI management systems. Together, these frameworks provide a powerful roadmap for aligning AI governance with established security and compliance practices.

As the need for innovative artificial intelligence grows, regulatory bodies are working quickly to create frameworks that balance acceleration with safety, accountability, and trust. Notably, the European Union’s AI Act is poised to reshape how organizations approach AI governance, especially when it comes to general-purpose AI (GPAI) models.

The global push to both regulate and strategically accelerate the development of artificial intelligence (AI) has gained momentum over the past year, resulting in a diverse landscape of evolving frameworks, policies, and executive directives. In the United States, this dual focus on oversight and innovation has translated into a series of executive orders and formal federal AI governance initiatives.

Have you read the recently released America’s AI Action Plan yet? If so, you know that it’s full of ambitious goals to strengthen the country’s leadership in artificial intelligence. For me, one part in particular stood out immediately, the White House issued a clear call to action to the data center industry.