Hybrid Intelligence in Decision Support and a Use Case: Predictive Crisis Management

With the rise of AI and the demand for digital transformation, both public and private actors increasingly want to use intelligent decision systems in the data-driven world.

However, due to trustworthiness concerns and accuracy and precision challenges, users and clients hesitate to adopt such systems. To address these problems, Smart Navigator has a special focus on developing a novel approach and system architecture by integrating human and machine components to generate a unique hybrid intelligence model.

Secondly, the project improves the concept and architecture of a previously developed model for prediction and simulation with high accuracy.

As key deliverables, a novel system architecture for hybrid intelligence in decision technology has been developed; an innovative Multi-Space Analysis Model for complex network analysis has been configured; and related policy briefs and papers were published.

It is addressed to non-technical executives and mid-senior staff at companies operating in strategic sectors, as well as staff at public bodies.

The outcomes provide a high-value knowledge base for researchers, practitioners, and AI experts. The use of hybrid intelligence to address AI challenges in public and private sectors has strong potential to ensure ethical and responsible, human-centric intelligent decision systems.

We gained deep insight especially in the hybridization of rule and pattern-based approaches with knowledge graphs for event and object recognition and relation extraction in complex environments, along with proper integration into data collection and processing pipelines and dynamic ontology structures.

With such hybridization, it becomes easier to address challenges in achieving high accuracy rates for detection and relation extraction in complex and dynamic cases.

Very fruitful and insightful collaborative working conditions were established between the US Node and the explorer. A. Ridwan Hossain, PhD Researcher at the New Jersey Institute of Technology, indicated that Smart Navigator has great potential to address AI decision technology challenges in the future. Arif Hossain, PhD Researcher at NJIT, highlighted the innovative features and high accuracy rates of Smart Navigator in complex event and object recognition.

We truly appreciate the NGI Explorer program for providing a fruitful and insightful collaborative R&D environment that accelerated this exploration.