The Millennium Project invites all those studying or working on the future issues of global governance of Artificial General Intelligence – AGI to share their judgements on the elements necessary for safe and productive global governance of AGI in our new online Real-Time Delphi.

This study does not focus on artificial narrow intelligence (ANI) that we have today or future forms of generative AI that we could have in a few months. Instead, this study focuses on AGI that some experts believe we could have within five years. For the purpose of this study, AGI is defined as an AI that can create novel problem-solving strategies to address novel problems similar to or beyond human capabilities.

The creation of trusted global governance of AGI will require the participation of not only AGI experts, but also politicians, international lawyers, diplomats, futurists, and ethicists (including philosophers, social scientists). You have been recommended due to your experience in one of more these areas.

This questionnaire is based on personal interviews and statements of 55 AGI experts and thought leaders. A report on that earlier work, Phase 1, is now available for free on our website. All those who respond to this questionnaire will be listed in the Phase 2 report (unless you ask not to be) and will receive a copy of the results. No attributions will be made; your name will not be connected to any answer, unless you put your name with the text of your answers. The results will be published and used as input to creating alternative AGI governance scenarios.

Unlike other questionnaires, this Real-Time Delphi allows you to return as often as you like to read other participants’ views and to edit your own comments. You can return as many times as you like until the deadline of December 31, 2023. Please go to https://realtimedelphi.net/, enter your email address, then use code BNW1, click go and answer a few demographic questions. Please return as often as you like.

Read more about the AGI study: https://www.millennium-project.org/transition-from-artificial-narrow-to-artificial-general-intelligence-governance/

Access the Real-Time Delphi study: https://realtimedelphi.net/