Alessandro Sapienza

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About

Alessandro Sapienza is a researcher whose work lies at the intersection of artificial intelligence, social network analysis, and multi-agent systems. His primary research focus centers on understanding how trust and dependence shape interactions within complex networks, particularly those involving both human and artificial agents. In his landmark 2023 study, "The Role of Trust in Dependence Networks: A Case Study," Sapienza investigates the delicate interplay between dependence and trust, exploring how these dynamics influence cooperation, decision-making, and network stability in increasingly interconnected environments. Although early in his career, his work has already garnered attention, with this paper accumulating 4 citations—a promising sign of its growing influence. Sapienza’s contributions are notable for bridging theoretical models with real-world case studies, offering fresh insights into how social bonds evolve when humans and AI systems collaborate. His research has important implications for designing trustworthy AI, improving human-robot interaction, and understanding the resilience of socio-technical networks. As the field of human-AI collaboration expands, Sapienza’s work is poised to become a cornerstone for researchers and students exploring the social fabric of intelligent systems.