Rethinking Intelligence: From Human Cognition to Artificial Futures
DOI:
https://doi.org/10.26740/vubeta.v2i3.44232Keywords:
Intelligent Systems, Human–AI Collaboration, Ethical Frameworks, Interdisciplinary Approach, Adaptive IntelligenceAbstract
The rapid advancement of AI technologies raises pressing questions about the nature and future direction of intelligence. A key challenge is to understand how human and artificial intelligences differ, not just in form but in function, and how they should be evaluated in a shared context.
This paper proposes a structured framework based on 15 measurable conditions of intelligence, such as memory, adaptability, specialization, and ethical alignment.
Our main contribution lies in connecting these conditions to nine key directions of AI development—such as responsible AI, human–machine collaboration, and quantum AI—to outline how intelligence can be evaluated and guided across both natural and synthetic domains.
Methodologically, we cross-analyze these dimensions using a 15×9 matrix, providing both a diagnostic tool and a conceptual roadmap for future AI development. This approach blends insights from cognitive science, applied AI, ethics, and philosophy.
Our findings show that intelligence must be judged not just by computational capability but by interpretability, ethical grounding, and social utility. Contextual and hybrid systems—those that adapt to environments and align with human values—emerge as the most promising.
We conclude by calling for an interdisciplinary approach to build intelligence systems that are not only powerful but also trustworthy and socially meaningful.
Author Biography
Habib Hamam, Faculty of Engineering, Université de Moncton
Habib Hamam obtained the B.Eng. and M.Sc. degrees in information processing from the Technical University of Munich, Germany 1988 and 1992, and the PhD degree in Physics and applications in telecommunications from Université de Rennes I conjointly with France Telecom Graduate School, France 1995. He also obtained a postdoctoral diploma, “Accreditation to Supervise Research in Signal Processing and Telecommunications”, from Université de Rennes I in 2004. He was a Canada Research Chair holder in “Optics in Information and Communication Technologies”, the most prestigious research position in Canada – which he held for a decade (2006-2016). The title is awarded by the Head of the Government of Canada after a selection by an international scientific jury in the related field. He is currently a full Professor in the Department of Electrical Engineering at Université de Moncton. He is OSA senior member, IEEE senior member and a registered professional engineer in New-Brunswick. He obtained several pedagogical and scientific awards. He is among others editor in chief and founder of CIT-Review, academic editor in Applied Sciences and associate editor of the IEEE Canadian Review. He also served as Guest editor in several journals. His research interests are in optical telecommunications, Wireless Communications, diffraction, fiber components, signal and image processing, IoT, data protection, AI and Big Data.
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