Authors:
Louis Rosenberg
1
;
Gregg Willcox
1
;
Hans Schumann
1
and
Ganesh Mani
2
Affiliations:
1
Unanimous AI, 2200 North George Mason Dr, Arlington, VA, U.S.A.
;
2
Carnegie Mellon University, Pittsburgh, Pennsylvania, U.S.A.
Keyword(s):
Artificial Intelligence, Collective Intelligence, Generative AI, Conversational AI, Swarm Intelligence, Swarm AI, Collective Superintelligence, Collaboration, Deliberative Problem Solving, IQ, Large Language Models.
Abstract:
Swarm Intelligence (SI) is a natural phenomenon that enables biological groups to amplify their combined intellect by forming real-time systems. Artificial Swarm Intelligence (or Swarm AI) is a technology that enables networked human groups to amplify their combined intelligence by forming similar systems. In the past, swarm-based methods were constrained to narrowly defined tasks like probabilistic forecasting and multiple-choice decision making. A new technology called Conversational Swarm Intelligence (CSI) was developed in 2023 that amplifies the decision-making accuracy of networked human groups through natural conversational deliberations mediated by artificial agents. The current study evaluated the ability of real-time groups using a CSI platform to take a common IQ test known as Raven’s Advanced Progressive Matrices (RAPM). First, a baseline group of participants took the Raven’s IQ test by traditional survey. This group averaged 45.7 correct. Then, groups of approximately
35 individuals answered IQ test questions together using a CSI platform called Thinkscape. These groups averaged 80.5% correct. This puts the CSI groups in the 97th percentile of IQ test-takers and corresponds to an effective IQ increase of 28 points (p<0.001). This is an encouraging result and suggests that CSI is a powerful method for enabling conversational collective intelligence in large, networked groups. In addition, because CSI deliberations are scalable across groups of potentially any size, these methods may provide a pathway to building a Collective Superintelligence.
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