Hybrid Human Artificial Collective Intelligence in Open-Ended Domains

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HACID develops a novel hybrid collective intelligence for decision support to professionals facing complex open-ended problems, promoting engagement, fairness and trust.
A decision support system (HACID-DSS) is proposed that is based on structured domain knowledge, semi-automatically assembled in a domain knowledge graph from available data sources, such as scientific and gray literature.
Given a specific case within the addressed domain, a pool of experts is consulted to (i) extract supporting evidence and enrich it, generating a case knowledge graph (CKG) as a subset of the DKG, and (ii) provide one or more solutions to the problem.
Exploiting the CKG, the HACID-DSS gathers the expert advice in a collective solution that aggregates the individual opinions and expands them with machine-generated suggestions. In this way, HACID harnesses the wisdom of the crowd in open-ended problems, relying on a traceable process based on supporting evidence for better explainability.
A set of evaluation methods is proposed to deal with domains where ground truth is not available, demonstrating the suitability of the proposed approach in a wide range of application domains.


HACID is an HORIZON Innovation Action, a collaborative project funded under the Horizon Europe Programme, within the topic "AI, Data and Robotics at work" (HORIZON-CL4-2021-DIGITAL-EMERGING-01-10).
It involves the following institutions: