Last week, I had the privilege to take part in the Global Council for Responsible AI Leadership Workshop at Lake Como, Italy โ a unique gathering of leaders from government, industry, and academia working together on one of the most pressing challenges of our time.
๐ ๐จ๐ซ ๐ญ๐ฐ๐จ ๐๐๐ฒ๐ฌ, ๐ฐ๐ ๐๐จ๐ฅ๐ฅ๐๐๐จ๐ซ๐๐ญ๐๐ ๐ญ๐จ ๐ฌ๐ก๐๐ฉ๐ ๐ญ๐ก๐ ๐๐ข๐ซ๐ฌ๐ญ ๐๐ซ๐๐๐ญ ๐จ๐ ๐ญ๐ก๐ ๐๐ฅ๐จ๐๐๐ฅ ๐๐๐ฌ๐ฉ๐จ๐ง๐ฌ๐ข๐๐ฅ๐ ๐๐ ๐ ๐ซ๐๐ฆ๐๐ฐ๐จ๐ซ๐ค, ๐ ๐ฆ๐ข๐ฅ๐๐ฌ๐ญ๐จ๐ง๐ ๐ญ๐ก๐๐ญ ๐ฐ๐ข๐ฅ๐ฅ ๐๐จ๐ง๐ญ๐ข๐ง๐ฎ๐ ๐ญ๐จ ๐๐ฏ๐จ๐ฅ๐ฏ๐ ๐๐ง๐ ๐ฎ๐ฅ๐ญ๐ข๐ฆ๐๐ญ๐๐ฅ๐ฒ ๐๐ ๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ ๐จ๐ง ๐ญ๐ก๐ ๐ฐ๐จ๐ซ๐ฅ๐ ๐ฌ๐ญ๐๐ ๐ ๐๐ญ
๐๐๐ฏ๐จ๐ฌ 2026
The energy in the room was remarkable: intense discussions, rigorous debates, and above all a shared sense of responsibility. The outcome was more than just drafting a framework โ it was about defining principles that will guide how societies and businesses around the world experience AI in their daily lives.
Key reflections that stood out for me:
AI must be built with trust and accountability at its core.
Human oversight and ethical leadership are non-negotiable.
Innovation without responsibility risks leaving society behind.
Inspired by the diversity of thought and the collective commitment to ensure that AI is developed with ethics, accountability, and trust at its core.
