Technical standards bodies hope to deliver AI success with ethical development practices

"Three major international technical standardization bodies are working to introduce ethical considerations into their standards, with the release of four guiding principles. The International Organization for Standardization (ISO), the International Electrotechnical Commission (IEC), and the International Telecommunication Union (ITU) last week launched the Seoul Statement at an event in South Korea. This statement is aimed at advancing the development of safe, inclusive, and effective international standards for AI."

"These standards, the bodies revealed, should reflect global needs, support regulatory alignment, and foster interoperability, trust and inclusion. "It places international standards at the heart of AI governance," said Sung Hwan Cho, president of the ISO. "We must systematically include social and human rights considerations into our standards work. We must collaborate across government, industry and civil society and academia to ensure all voices are heard.""

"The statement is based on four core principles covering key areas spanning development, deployment, and long-term maintenance of AI systems. Standards should actively incorporate sociological dimensions as well as technical ones, for example. They should deepen the understanding of the interplay between international standards and human rights, recognizing both their importance and universality throughout the AI development lifecycle. They should also help strengthen an inclusive, multi-stakeholder community to develop and apply international standards for the design, deployment, and governance of AI."

ISO, IEC and ITU launched the Seoul Statement to advance safe, inclusive, and effective international AI standards built on four core principles. The principles cover development, deployment, and long-term maintenance of AI systems and call for sociological as well as technical considerations. The principles emphasize the interplay between international standards and human rights, and the need for universality across the AI lifecycle. They encourage an inclusive, multi-stakeholder community for design, deployment, and governance, and promote closer public–private collaboration on AI capacity building while supporting regulatory alignment, interoperability, trust, and inclusion.

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