Research

Augmented
Collective
Intelligence

Solve Tomorrow’s Problems
with Tomorrow’s Intelligence.

Making us, and the machines, more intelligent

Augmented Collective Intelligence (ACI) harnesses the emergent intelligence of large numbers of people and AI-powered machines, connected in a distributed architecture.

The result is Superminds, organizational structures that synergize human and AI intelligence.

We may not be ready for Artificial General Intelligence (AGI), but we are ready for ACI.

from Artificial General Intelligence to Augmented Collective Intelligence

What superminds do

They complement traditional, hierarchical organizational structures. From Wikipedia to Reddit and YouTube, from Patients Like Me to Bitcoin and Apple’s Technical Communities, and from Pinduoduo to Haier and Bellingcat, hundreds of intelligent networks help harness the collective cognitive power of people, organizations, and ecosystems.

Where can they be applied?

Augmented collective intelligence can be applied to dozens of organizational functions and their processes. Some examples:

  • Collaborative invention-to-innovation processes

  • Improved learning operating models

  • Identification of critical employees, early warning, coaching, support, enablement

  • Assessment and reinforcement of inclusion of diverse individuals

  • Enhanced synergy in a portfolio of ventures

  • Thematic research for financial or R&D use

  • Better understanding of organizational preparedness

  • Identification of inter-department collaboration gaps

  • Horizon 3 analysis, scenario refinement, validation

  • Flow-of-work optimization across the organization

  • Effective, efficient, distance-proof collaboration

  • B2B; B2C support community (e.g., tech, content moderation)

  • Acceleration of synergies

  • Propagation and adoption of transformation programs

  • Better engagement of technical pre-sales and solution architects

How to design and build a supermind

The detailed and continuously updated Principles, Practitioner Guidebook, Database and Library provide an overview, frameworks, detailed examples, news, and ultimately a playbook for designing and managing an AI-augmented collective intelligence - a supermind.

Inspired by over a decade of research at the Massachusetts Institute of Technology (MIT) Center for Collective Intelligence and its Design Lab.

Building an Augmented Collective Intelligence

Design and manage four areas

Illuminate

Network nodes see each other

Energize

Participants are incentivized, and goals aligned

Feed

The network benefits from fresh, relevant knowledge

Wire

Collaboration methods and platforms

Artificial Intelligence:
Four C’s

AI helps sense, remember, create, decide and learn collectively.
At hyperscale.

Connect

…the right people, and machines. For instance: knowledge graphs pinpoint the right nodes in the network and make them discoverable to each other, irrespective of how distant they are.

Curate

…information into usable knowledge. For instance: natural language processing and computer vision source relevant information; automated data discovery identifies patterns people miss; generative design.

Collaborate

…to remove friction in the process of generating and applying ideas. For instance: natural language processing translates content; machine learning optimizes video and voice data transmission.

Compute

…any other prediction. For instance: machine learning determines contributors worth rewarding, detects spam or fake inputs, or identifies strictures in high-volume process flows.