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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.

The widespread use of AI is in full force, reshaping industries, economies, societies, and business practices. From healthcare diagnostics and financial forecasting to enhanced education and public services, AI systems are being deployed at unprecedented speed and scale. With its rapid adoption comes both immense benefits and equal amounts of concern over transparency, accountability, fairness, and privacy.

As artificial intelligence (AI) technologies become more deeply embedded in business operations, the need for responsible, transparent, and auditable AI management practices has never been more critical. ISO 42001 provides a structured framework to help organizations govern their AI systems responsibly and ethically.

This article was featured in the World Economic Forum, written by Schellman’s Jerrad Bartczak, Senior Associate AI, and Stu Block, Sustainability Practice Director.

The use of artificial intelligence is rapidly expanding across businesses and industries, driving innovation, improving efficiency, and unlocking new opportunities. However, as AI systems become more integrated into critical decision-making processes and daily business operations, concerns about their ethical and responsible use also continue to rise. Questions surrounding fairness, transparency, and accountability have become increasingly prominent, highlighting the need for a structured approach to evaluating AI’s broader ethical and societal implications.

As artificial intelligence continues to become increasingly integrated into regular business operations, the need for its responsible development and use also continues to grow. From bias and fairness to data privacy and security concerns, the risks associated with AI are driving governments around the world to introduce new and evolving legislation aimed at ensuring its ethical and safe deployment.

As AI continues to transform industries worldwide and organizations continue to innovate their use of AI in regular practice, they are also faced with growing pressure to demonstrate that their AI systems are secure, trustworthy, and responsible. With regulatory scrutiny and public concern over widespread use of AI on the rise, aligning with established frameworks and standards has become essential for maintaining credibility and mitigating risk.