With the rapid rise of artificial intelligence and the accelerating demand for digital transformation, organizations across both the public and private sectors are increasingly seeking to adopt intelligent decision-support systems in today’s data-driven world. However, challenges related to trustworthiness, accuracy, and precision continue to create hesitation among users and clients when it comes to implementing such technologies.

To address these concerns, the Smart Navigator project has focused on developing a novel hybrid intelligence framework that integrates human and machine capabilities to create a more reliable and adaptive decision-making system. In addition, the project enhances a previously developed predictive and simulation model, significantly improving its accuracy and performance.

Among the key outcomes are:

• The development of a new system architecture that enables a Hybrid Intelligence approach in decision technology.
• The creation of an innovative Multi-Space Analysis Model for complex network analysis.
• The publication of policy briefs and academic papers highlighting the project’s research findings and technological achievements.

This initiative is particularly relevant for non-technical executives and mid-to-senior professionals in strategic sectors, as well as public sector organizations seeking to integrate ethical and responsible AI into their operations.

The project outcomes provide valuable insights for researchers, practitioners, and AI specialists. By leveraging hybrid intelligence, Smart Navigator demonstrates how human–machine collaboration can foster trustworthy, human-centric, and ethical intelligent decision systems that address key limitations in existing AI models.

Throughout the project, I gained deep expertise in the hybridization of rule-based and knowledge-graph approaches for event and object recognition, as well as relation extraction in complex environments. Integrating these methods with dynamic ontology structures and advanced data processing pipelines allows for achieving high accuracy in detecting and analyzing complex, evolving scenarios.

This collaboration was made possible through the NGI Explorer program, which provided an exceptional platform for joint research and innovation. I am deeply grateful for the opportunity to work closely with the U.S. Node, where Dr. A. Ridwan Hossain (PhD Researcher at the New Jersey Institute of Technology) noted, “The Smart Navigator project has great potential to address the challenges of AI in decision technology in the future.” Similarly, Dr. Arif Hossain (PhD Researcher at NJIT) emphasized the “innovative features and high accuracy rates of Smart Navigator in complex event and object recognition processes.”

I sincerely appreciate the NGI Explorer program for fostering a rich, collaborative environment that has significantly accelerated this exploration and strengthened our shared mission to advance ethical, intelligent, and human-centered AI.