Little attention has been given to the relationship between AI and our Collective Intelligence (CI) - the ability of groups to think and work together on identifying problems, developing solutions, making decisions and learning.

Over the past eight months, we’ve started mapping out this new field to understand what AI-enabled Collective Intelligence looks like at the moment, where the main opportunities for innovation are, the challenges to be aware of and how these could be managed.

Alongside our new report The future of minds and machines: how artificial intelligence can enhance collective intelligence we have brought together twenty case studies of projects that are bringing together AI and Collective Intelligence to open up new opportunities for solving complex problems.

Where AI is already being used to enhance CI, the value it adds to the collective can be broken down into eight broad categories. Between them they help to address challenges commonly encountered in CI: related to managing vast amounts of data or difficulties in optimising processes and making the most of the interactions between people. These different sources of added value demonstrate that AI functions as a cognitive tool that allows the extension of natural intelligence, from perception and decision-making to creativity and learning.

We invite you to explore these inspiring examples of AI-enhanced collective intelligence below.