Boston, December 12, 2021 I would like to express my sincere gratitude for the invitation to speak today. I made a visit to Boston in 2015 as then Prime Minister and have good memories of visiting the Kennedy Library, Harvard University and MIT. How I wish today that...
Francesco Lapenta: "I nominate Margrethe Vestager for the History of AI Award 2021 for her efforts to build a global coherent AI, data, and digital infrastructure based on policies and guidelines that promote the trustworthy and human-centric evolution, innovation,...
Speaker of the Riksdag, Andreas Norlen, received the World Leader for Peace and Security Award 2021 at the Symposium “Framework for Global Law and Accord on AI and Digital” on December 12, 2021. The World Leader for Peace and Security Award 2015 recipient, former PM...
The History of AI Board recognized the below achievements for the History of AI Award 2021, which will be display at the History of AI House: Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on Artificial...
28 April, 2021 Dear Governor Dukakis, Dear Tuan Nguyen and Mark Rotenberg, Distinguished Members of the AIWS Committee, Ladies and Gentlemen, Thank you for this distinction, which I accept with gratitude and humility. I am especially moved to receive it in the...
Boston, April 28, 2021 I am pleased to announce that this year’s recipient of the Boston Global Forum’s World Leader in AI World Society is Stavros Lambrinidis, the European Union’s ambassador to the United States. Born in Athens and educated in the United States at...
Michael Dukakis Institute to honor Stavros Lambrinidis, EU Ambassador to the US on April 28 for promoting Internet security, freedom, and AI Democracy Stavros Lambrinidis, European Union Ambassador to the United States, will receive the, “World Leader in AI World...
Professor Judea Pearl has been named World Leader of 2020 by the Artificial Intelligence World Society for his watershed work on quantifying cause-and-effect relationships in statistical analysis. This is a significant leap forward because statisticians heretofore focused on correlations, and remained mute on causality as being within their analytical realm.