# Towards Collective Superintelligence: Amplifying Group IQ using Conversational Swarms

arXiv: https://arxiv.org/abs/2401.15109 · HTML: https://mlsanity.com/paper/2401.15109/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 17 references that are in the map.
- First posted on arXiv 25 Jan 2024.

## Builds on (most cited first, 4 of 4)

- [Conversational Swarm Intelligence (CSI) Enables Rapid Group Insights](https://mlsanity.com/paper/2310.13702/) (2023)
- [Conversational Swarm Intelligence, a Pilot Study](https://mlsanity.com/paper/2309.03220/) (2023)
- [Conversational Swarm Intelligence (CSI) Enhances Groupwise Deliberation](https://mlsanity.com/paper/2309.12366/) (2023)
- [Towards Collective Superintelligence, a Pilot Study](https://mlsanity.com/paper/2311.00728/) (2023)

## Built on by (most cited first, 4 of 4)

- [FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning](https://mlsanity.com/paper/2410.19727/) (2024)
- [Large-scale Group Brainstorming using Conversational Swarm Intelligence (CSI) versus Traditional Chat](https://mlsanity.com/paper/2412.14205/) (2024)
- [Integration of TinyML and LargeML: A Survey of 6G and Beyond](https://mlsanity.com/paper/2505.15854/) (2025)
- [Conversational Collective Intelligence (CCI) using Hyperchat AI in a Real-world Forecasting Task](https://mlsanity.com/paper/2511.03732/) (2025)

## Abstract (arXiv)

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. 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 45.6% 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 places 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 is scalable across groups of potentially any size, this technology may provide a viable pathway to building a Collective Superintelligence.