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From AI principles to global standards | Frederic Werner (ITU) interviewed by IT for Business

AI for Good20 July 2026Watch on YouTube

Description

How can high-level principles for AI be translated into practical action? In this interview by IT for Business, Frederic Werner, Chief, Strategic Engagement Department & AI for Good at the International Telecommunication Union (ITU), discusses the importance of science-based inputs that policymakers can use to inform local and regional regulations. He also highlights the role of standards in turning high-level principles and discussions into practice, addressing areas including security, privacy, safety, human rights and ensuring developing countries are at the table. These principles, he explains, can be built into technology as devices, platforms and large language models increasingly interact across platforms, countries and borders. Recorded by IT for Business at the AI for Good Global Summit 2026 in Geneva, Switzerland. ___________________________________________________________________ AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

What you'll learn

  • International standards translate AI principles into concrete measures for security, privacy and human rights
  • Science-based inputs form the foundation for evidence-based policy that countries and regions can use for regulation
  • Standards ensure AI principles are built into technology as devices and platforms increasingly interact across borders

Frequently asked questions

How are abstract AI principles translated into practical measures?
According to Frederic Werner, this happens through standards that translate high-level principles and discussions into concrete practice. These standards are built into technology, devices, platforms and large language models that interact across borders.
What role do scientific inputs play in AI regulation?
Science-based inputs help policymakers inform local and regional regulations. This evidence-based approach ensures regulation is grounded in facts and research rather than principles alone.
Why is it important that developing countries are involved in standardization?
Frederic Werner emphasizes that standards are only effective when all countries, including developing nations, have a seat at the table. This ensures AI principles are relevant and applicable globally.
What topics do international AI standards address?
The standards address areas including security, privacy, safety, human rights and ensuring inclusive participation. These are built into technology to minimize risks as devices and platforms interact across borders.

Topics

ai governancestandardspolicyinternational cooperation