Katya Linossi, Co-Founder and CEO
More blogs by this authorKatya Linossi, Co-Founder and CEO
More blogs by this authorCollective intelligence is the process by which a large group of individuals gather and share their knowledge, data and skills for the purpose of solving issues.
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There are multiple definitions of collective intelligence. The National Endowment for Science Technology and the Arts (NESTA) defines collective intelligence as the process by which a large group of individuals gather and share their knowledge, data and skills for the purpose of solving societal issues.
You could also say that collective intelligence is a kind of wisdom and knowledge that grows out of a group. The concept of collective intelligence states that when people work together, they form a type of intelligence that simply cannot exist on the individual level.
Collective intelligence is therefore shared or group intelligence that emerges from the collaboration, collective efforts, and competition of many individuals and appears in consensus decision making.
It has been around for a long time, but the rise of new technologies that connect more and more individuals over greater distances to share knowledge and skills has transformed what can be achieved. Collective intelligence is used to help create widely known platforms such as Google and Wikipedia.
Essentially, in the same way IQ describes individual intelligence, collective intelligence performs the function on a broader scale. It’s also proven to be a dynamic concept, subject to new evolutions spurred on by the increasing sophistication of artificial intelligence technologies.
Collective intelligence strongly contributes to the shift of knowledge and power from the individual to the collective.
The concept (although not so named) originated in 1785 with the Marquis de Condorcet, whose "jury theorem" states that if each member of a voting group is more likely than not to make a correct decision, the probability that the highest vote of the group is the correct decision increases with the number of members of the group.
In a 1962 research report, Douglas Engelbart linked collective intelligence to organisational effectiveness, and predicted that pro-actively 'augmenting human intellect' would yield a multiplier effect in group problem solving. In 1994, he coined the term 'collective IQ' as a measure of collective intelligence, to focus attention on the opportunity to significantly raise collective IQ in business and society.
Pierre Levy’s book Collective Intelligence: mankind’s emerging world in cyberspace, translated by Robert Bononno. He was the first to develop the term “collective intelligence” and describes it as:
A form of universally distributed intelligence, constantly enhanced, coordinated in real time, and resulting in the effective mobilization of skills… My initial premise is based on the notion of a universally distributed intelligence. No one knows everything, everyone knows something, all knowledge resides in humanity… New communications systems should provide members of a community with the means to coordinate their interactions within the same virtual universe of knowledge. The ideal of collective intelligence implies the technical, economic, legal, and human enhancement of a universally distributed intelligence that will unleash a positive dynamic of recognition and skills mobilization.
The most important intelligence in the foreseeable is not Artificial Intelligence but, rather, a collective intelligence that includes both people and computers. And this is where there is a major opportunity currently untapped by many organizations.
Organizations can improve productivity and creativity by creating the right conditions to tap into the wealth of information and knowledge about their systems, processes, products and customers.
Leaders that value the experience, knowledge and insight potential gained over many years by employees, seek to harness this collective intelligence and the many business benefits it offers. By doing so, they are giving their employees an important voice in the organization, a key feature in engaged workforces.
According to theorists Don Tapscott and Anthony Williams, collective intelligence is an outcome of group behavior they categorize as mass collaboration that is founded upon four distinct principles: Openness, Peering, Sharing, and Acting Globally.
Geoff Mulgan focuses on five organizing principles. These principles help a group to think more clearly about the past (the relevant collective memories), present (the facts of what is happening), and future (the options for resolving the situation).
Unlike simple problems which have obvious fixes, making progress on complex problems requires dealing with uncertainty and multiple unknowns. Collective Intelligence draws on a combination of data, technology and diverse human skills to address different aspects of uncertainty.
We are living in more uncertain times. In addition, AI is already being used by many businesses and is a great opportunity to augment collective intelligence in real ways.
Atlas is the first intelligent knowledge platform for Microsoft 365. Atlas is leading the way when it comes to empower employees to securely use AI in the flow of their work, by dynamically connecting to approved, authoritative collective intelligence. Atlas enables organizations to get ahead by removing friction from knowledge creation and finding, as well as establishing authoritative content sources and enriching search experiences.
With Atlas, you can start taking advantage of the collective intelligence within your organization by:
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