Artificial Intelligence (AI) is currently an area of great interest across various disciplines, owing to its significant impact on human advancement. The influence of AI is expected to extend to various aspects of human life, including lifestyle, cognition, behaviour, economic systems, and art. Consequently, my research adopts a multidisciplinary approach that incorporates diverse fields impacted by cognitive science.
Central to my research is a focus on learning, encompassing both human and machine learning, as well as AI and Virtual Reality. My study on AI goes beyond machine learning and comprises a broad range of research directions, including robotics, brain-computer interfaces, systems, and brain studies.
A macro-view of the Big Picture requires a multi-disciplinary perspective, which is inherent in my research approach. I firmly believe that understanding human attributes such as knowledge acquisition, emotions, problem-solving, and creativity is integral to developing AI systems that can be relied upon. Virtual Reality also plays a significant role in modern society and is closely linked to AI and learning. The boundary between online and offline experiences is increasingly blurred, and the integration of skill and knowledge acquisition, virtual reality, and AI is becoming more apparent.
My research activities encompass not only basic research investigations but also the impact of AI on learning, industry, finance, and society. Given the concerns surrounding the applications of AI in various sectors such as industrial, job, social, economic, legal, and health systems, there is an urgent need to consider regulatory and protective measures. It is essential to establish how new AI systems can be integrated into human lives while considering legal and ethical considerations.
Empathy is critical for the advancement of AI and presents both the most significant challenge and the greatest opportunity for protection. Additionally, the development of Explanatory AI is essential, given the increasing applications of AI in everyday life.
From my point of view, three essential components that AI must consider include the system's perspective, which involves understanding how adaptive systems and learning agents can replicate, integrate, and improve the acquisition of human experiences; the affective engineering approach, which involves enhancing machines to 'translate' the emotional sphere of humans and empowering the knowledge of the human brain; and the augmented communication dimension, which focuses on human-machine interaction, the foundation for any future technological development and human progress. All these three directions find a place in my research.
|Professor in Artificial Intelligence at the Faculty of Philosophy MSc, Università degli Studi di Milano - Italy
|Professor of Advanced Technology in Medicine (Specialisaton), Università degli Studi di Milano - Italy
|Professor of Big Data Management and Analysis, Ph.D. course in Business Management, University of Rijeka, Croatia
|Several seminars on AI and VR
|Director of the specialisation course on Esperti in didattica eprsonalizzata e metodologie di insegnamento orientate ai DSA, Università degli Studi di Milano - Italy