What do you want from the future of artificial intelligence?

The future is here, and it should be co-created.

Collective Intelligence Project has launched the Global Dialogues to convene thousands of people.

These global dialogues bring people from around the world together to set a vision - and concrete goals - for what world they want. Our first dialogue centers around the fears, dreams, hopes, and attitudes people have about AI.

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Key Findings

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Worried about country or governmnent control over AI

In response to the statement: 'If a country or government has full control over AI, it will be difficult for the public interest to be truly protected. When those who hold the highest power have full control over AI, there may be infringements on social and personal freedom. I am worried that in this case, the world will become more chaotic, and the rights and voices of the public will be suppressed.'

Methodology

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We engaged thousands of globally representative voices through a collective dialogue system, going beyond traditional polling to explore cultural values, desired outcomes, and future scenarios. This rich, multimodal approach helps us understand what humanity truly wants from AI development. All data is available for public analysis.

About

Who we are

Global Dialogues is led by Collective Intelligence Project, a nonprofit R&D lab running scalable experiments to accelerate positive AI development through collective input.

It is produced with Remesh, whose platform transforms public dialogue into actionable insights, and Prolific who gathered a representative global sample of participants.

Coalition partners include Aspen Digital, Bhutan AI Society, Chatham House, Human Capital Africa, Jigsaw, Karya, Mistral AI, Mozilla, Omidyar Network, and Public AI Network.

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Explore what the world is really saying about AI. Access our complete dataset to conduct your own analysis and contribute to the growing body of research on global AI perspectives.

Quick Start Analysis Jupyter Notebook

Raw Data on Google Drive

Data on Hugging Face