Beyond the Individual: Understanding the Evolution of Collective Intelligence

Harnessing Crowds: Mapping the Genome of Collective Intelligence

Over the past decade, the rise of the Internet has enabled the emergence of surprising new forms of collective intelligence. Examples include Google, Wikipedia,

Education for collective intelligence

Collective Intelligence (CI) is important for groups that seek to address shared problems. CI in human groups can be mediated by educational technologies. The current paper presents a framework to ...

How large language models can reshape collective intelligence

Collective intelligence underpins the success of groups, organizations, markets and societies. Through distributed cognition and coordination, collectives can achieve outcomes that exceed the capabilities of individuals—even experts—resulting in improved accuracy and novel capabilities. Often, collective intelligence is supported by information technology, such as online prediction markets that elicit the ‘wisdom of crowds’, online forums that structure collective deliberation or digital platforms that crowdsource knowledge from the public. Large language models, however, are transforming how information is aggregated, accessed and transmitted online. Here we focus on the unique opportunities and challenges this transformation poses for collective intelligence. We bring together interdisciplinary perspectives from industry and academia to identify potential benefits, risks, policy-relevant considerations and open research questions, culminating in a call for a closer examination of how large language models affect humans’ ability to collectively tackle complex problems.

The network science of collective intelligence

In the last few years, breakthroughs in computational and experimental techniques have produced several key discoveries in the science of networks and human collective intelligence. This review presents the latest scientific findings from two key fields of research: collective problem-solving and the wisdom of the crowd. I demonstrate the core theoretical tensions separating these research traditions and show how recent findings offer a new synthesis for understanding how network dynamics alter collective intelligence, both positively and negatively.

Building Collective Intelligence Networks for Flourishing Scientific Communities

Scientific communities are straining under mounting challenges—knowledge fragmentation, outdated publication processes, institutional erosion and funding cuts—that threaten our capacity to address urgent global problems. Traditional scientific process

All intelligence is collective intelligence

Author: Falandays, J. Benjamin et al.; Genre: Journal Article; Published online: 2023-04-28; Open Access; Keywords: Collective intelligence, self-organization, multicellularity, neural Darwinism, behavioral coordination, cultural evolution; Title: All intelligence is collective intelligence

Science Communication as a Collective Intelligence Endeavor: A Manifesto and Examples for Implementation

Effective science communication is challenging when scientific messages are informed by a continually updating evidence base and must often compete against misinformation. We argue that we need a new program of science communication as collective intelligence—a collaborative approach, supported by technology. This would have four key advantages over the typical model where scientists communicate as individuals: scientific messages would be informed by (a) a wider base of aggregated knowledge, (b) contributions from a diverse scientific community, (c) participatory input from stakeholders, and (d) better responsiveness to ongoing changes in the state of knowledge.

The knowledge layer for collective intelligence

A portable data substrate for humans and their tools to think together.

The knowledge layer for collective intelligence

A portable data substrate for humans and their tools to think together.

The knowledge layer for collective intelligence

A portable data substrate for humans and their tools to think together.

The knowledge layer for collective intelligence

A portable data substrate for humans and their tools to think together.

Stigmergic Collaboration: A Theoretical Framework for Mass Collaboration

"This thesis presents an application-oriented theoretical framework for generalised and specific collaborative contexts with a special focus on Internet-based mass collaboration. The proposed framework is informed by the author's many years of collaborative arts practice and the design, building and moderation of a number of online collaborative environments across a wide range of contexts and applications. The thesis provides transdisciplinary architecture for describing the underlying mechanisms that have enabled the emergence of mass collaboration and other activities associated with 'Web 2.0' by incorporating a collaboratively developed definition and general framework for collaboration and collective activity, as well as theories of swarm intelligence, stigmergy, and distributed cognition. "Accompanying this creative arts thesis is a DVD-Rom which includes offline versions of the three Internet based collaborative environments designed, built and implemented in accordance with the frameworks for digital stigmergy and mass collaboration developed in the written work. The creative works in conjunction with the written thesis help to explore and more rigorously define the collaborative process in general, while testing the theory that stigmergy is an inherent component of collaborative processes which incorporate collective material production. "Supported by a range of contemporary examples of Internet activity, including the accompanying creative works, it is found that stigmergy is a deeply rooted mechanism inherent in not only traditional material collaborative processes, but a range of emerging online practices which may be broadly categorised as digital stigmergic cooperation and collaboration. This latter class enables the extreme scaling seen in mass collaborative projects such as Wikipedia.org, open source software projects and the massive, multiplayer environment, Second Life. This scaling is achieved through a range of attributes which are examined, such as the provision of a localised site of individualistic engagement which reduces demands placed upon participants by the social negotiation of contributions while increasing capacity for direct and immediate creative participation via digital workspaces. Also examined are a range of cultural, economic and sociopolitical impacts which emerge as a direct result of mass collaboration's highly distributed, non-market based, peer-production processes, all of which are shown to have important implications for the further transformation of our contemporary information and media landscape."

Socially Minded Intelligence: How Individuals, Groups, and Artificial Intelligence Can Make Each Other Smarter (or Not)

A core part of human intelligence is the ability to work flexibly with others to achieve goals. The incorporation of artificial agents into human spaces is making increasing demands on artificial intelligence (AI) to demonstrate and facilitate this ability. However, this kind of flexibility is not well understood because existing approaches to intelligence typically construe this either as an individual-difference trait or as a property of groups. We argue that by focusing either on individual or collective intelligence without considering their dynamic interaction, existing conceptualizations of intelligence limit the potential of people and AI systems. To address this impasse, we propose a new kind of intelligence, 'socially minded intelligence', that can be applied to both individuals and collectives. We outline how socially minded intelligence might be measured and cultivated within people, how it might be modelled in AI agents, and how it might be applied to other intelligent systems.

Sharing Notes about Collective Intelligence — Pop Junctions

Last week, my travels took me to San Antonio where I delivered one of the keynote addresses at the Educause Learning Initiative conference -- a gathering focused on the application of technology for learning at the college and university level. My presentation, "What Wikipedia Can Teach Us Ab

The Collective Intelligence Project

We’ve launched an open, collaborative platform to build evaluations that test what matters to you. We empower a global community to create qualitative benchmarks for any domain—from medical chatbots to legal assistance. Just as Wikipedia democratized knowledge, Weval aims to democratize evaluation, ensuring that AI works for, and represents, everyone.