Operational Collective Intelligence of Humans and Machines
- URL: http://arxiv.org/abs/2402.13273v1
- Date: Fri, 16 Feb 2024 22:45:09 GMT
- Title: Operational Collective Intelligence of Humans and Machines
- Authors: Nikolos Gurney, Fred Morstatter, David V. Pynadath, Adam Russell, Gleb
Satyukov
- Abstract summary: We explore the use of aggregative crowdsourced forecasting (ACF) as a mechanism to help operationalize collective intelligence''
This research asks whether ACF, as a key way to enable Operational Collective Intelligence, could be brought to bear on operational scenarios.
- Score: 7.8074313693407635
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We explore the use of aggregative crowdsourced forecasting (ACF) as a
mechanism to help operationalize ``collective intelligence'' of human-machine
teams for coordinated actions. We adopt the definition for Collective
Intelligence as: ``A property of groups that emerges from synergies among
data-information-knowledge, software-hardware, and individuals (those with new
insights as well as recognized authorities) that enables just-in-time knowledge
for better decisions than these three elements acting alone.'' Collective
Intelligence emerges from new ways of connecting humans and AI to enable
decision-advantage, in part by creating and leveraging additional sources of
information that might otherwise not be included. Aggregative crowdsourced
forecasting (ACF) is a recent key advancement towards Collective Intelligence
wherein predictions (X\% probability that Y will happen) and rationales (why I
believe it is this probability that X will happen) are elicited independently
from a diverse crowd, aggregated, and then used to inform higher-level
decision-making. This research asks whether ACF, as a key way to enable
Operational Collective Intelligence, could be brought to bear on operational
scenarios (i.e., sequences of events with defined agents, components, and
interactions) and decision-making, and considers whether such a capability
could provide novel operational capabilities to enable new forms of
decision-advantage.
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