Nicolas Sabouret

Sabouret investigates the dynamic interplay between humans and artificial intelligence, focusing on how these systems can effectively understand and respond to human emotions. His work in affective computing, an area of AI that strives to recognize and simulate human emotions, sets the stage for more empathetic and interactive machine-human relationships. Through his leadership at Université Paris-Saclay, Sabouret advances AI education and research, providing oversight to a multitude of laboratories and master's courses. His career includes pivotal roles like heading a master's program in AI at UPMC and serving as vice-president of the Computer Science department, showcasing his commitment to advancing academic structures in AI.\n\nIn the realm of research, Sabouret collaborates extensively on projects involving intelligent virtual agents, aimed at creating interactive systems that assist human users in diverse settings. His publications often address the potential of virtual environments and motivational agents in behavior change, training, and counseling, reflecting his focus on practical applications of AI. Moreover, his most notable book, "Understanding Artificial Intelligence," seeks to demystify AI for readers of all backgrounds by explaining complex concepts through simple narratives and illustrations. This work has gained traction on platforms like Goodreads, highlighting its appeal to a broad audience interested in understanding AI's capabilities and limitations.\n\nFor readers and professionals alike, Sabouret's contributions are invaluable as they bridge the gap between technical AI research and practical human applications. His scholarly efforts in human-computer interaction not only push the boundaries of what AI can achieve but also make these advancements accessible to a wider audience. By synthesizing technical knowledge into relatable insights, Sabouret empowers others to appreciate and engage with the evolving world of artificial intelligence.