Dr. Wael Bazzi

Dean of the School of Engineering and Professor, American University in Dubai

“By combining the power of human intuition with AI-driven analytics, we aim to create intelligent systems that are adaptive, efficient, and ethically aligned with real-world challenges. The Hybrid Human-AI Intelligence project marks a pivotal step toward seamless collaboration between humans and machines, driving innovation across industries and disciplines.”

The "SMART: Augmented Hybrid Intelligence" project pioneers a novel framework that integrates human intelligence with artificial intelligence (AI) to create a groundbreaking paradigm for trustworthy human-AI synergy. This project introduces Hybrid Intelligence (HI), surpassing the capabilities of either human or AI systems independently, by facilitating seamless cooperation and explainable interactions.

SMART's core innovation is the development of Augmented Hybrid Intelligence (AHI), which combines reliable collective human intelligence, pervasive AI-driven federated learning, cognitive graph-based explainable inference models, and a unified ethical framework. This robust approach addresses critical challenges, including acquiring reliable human intelligence, ensuring AI accuracy under dynamic conditions, and fostering human-AI collaboration that adheres to ethical principles.

A key application of SMART is in the development of a next-generation Clinical Lab Automation (CLA) system. The AHI-enabled CLA system enhances diagnostic accuracy, streamlines workflows, and optimizes treatment decisions in healthcare by integrating domain-specific human expertise with advanced AI algorithms. This system enables real-time process optimization, reduces errors, and delivers rapid, cost- effective diagnostic solutions.

The project is organized into interlinked research objectives, including innovative approaches for acquiring reliable human intelligence, developing adaptive federated learning frameworks, designing explainable reasoning models, and embedding ethics into all phases of development. These advancements are supported by real-world testing and validation in healthcare environments, ensuring practical applicability.

SMART represents a multidisciplinary effort, uniting expertise in computer science, cognitive science, ethics, and healthcare. By addressing technical, ethical, and societal challenges, SMART aims to redefine how human-AI collaboration is realized, offering transformative benefits across mission-critical applications such as medical diagnostics, disaster response, and energy efficiency. This project is poised to significantly advance the state-of-the-art in trustworthy AI systems.