artificial intelligence (ai) is one of the most transformative technologies of our generation, providing opportunities to be a force for good and drive economic growth. The growth of large language models (LLMs), with hundreds of billions of parameters, has unlocked new use cases for generative ai to improve customer experiences, increase employee productivity, and much more. At AWS, we remain committed to leveraging ai responsibly, working hand-in-hand with our customers to develop and deploy ai systems with safety, fairness, and security at the forefront.
The ai industry reached a major milestone this week with the publication of ISO 42001. In simple terms, ISO 42001 is an international standard. management system standard which provides guidelines for managing ai systems within organizations. It establishes a framework for organizations to systematically address and control risks related to the development and implementation of ai. ISO 42001 emphasizes commitment to responsible ai practices, encouraging organizations to adopt specific controls for their ai systems, fostering global interoperability, and laying the foundation for the development and implementation of responsible ai.
Trust in ai is crucial and integrating standards such as ISO 42001, which promotes ai governance, is one way to help gain public trust by supporting a responsible use approach.
As part of a broad international community of subject matter experts, AWS has been actively involved in the development of ISO 42001 since 2021 and began laying the groundwork ahead of the standard's final publication.
International standards encourage global cooperation in the development and implementation of responsible ai solutions. Perhaps like no other technology before, managing these challenges requires collaboration and a truly multidisciplinary effort between technology companies, policymakers, community groups, scientists and others, and international standards play a valuable role.
International standards are an important tool to help organizations translate national regulatory requirements into compliance mechanisms, including engineering practices, that are largely interoperable globally. Effective standards help reduce confusion about what ai is and what responsible ai entails, and help focus the industry on reducing potential harms. AWS is working across a community of diverse international stakeholders to improve emerging ai standards on a variety of topics, including risk management, data quality, bias, and transparency.
Compliance with the new ISO 42001 standard is one of the ways organizations can demonstrate a commitment to excellence in the responsible development and implementation of ai systems and applications. We continue to pursue the adoption of ISO 42001 and look forward to working with customers to do the same.
We are committed to investing in the future of responsible ai and helping to inform international standards in the interests of our customers and the communities in which we all live and operate.
About the authors
Swami Sivasubramanian He is vice president of data and machine learning at AWS. In this role, Swami oversees all AWS database, analytics, artificial intelligence, and machine learning services. His team's mission is to help organizations put their data to work with a complete end-to-end data solution to store, access, analyze, visualize and predict.
