In recent years, there has been significant progress in the development of virtual agents and technologies that process emotion data in artificial intelligence (AI) systems. These developments, known as "affective computing," allow AI to recognize and analyze people's feelings. The project explores the question of how AI can integrate information about emotions from various sources to create more sensitive and empathic systems.

There is still no consensus in the scientific community about the nature and mechanisms of emotions. Despite significant advances in neuroscience and psychology, emotions remain a complex phenomenon involving biological, psychological, and social aspects. Understanding emotions is the subject of ongoing research and debate. AI processes data using predefined algorithms, but the question of whether a person can really "recognize" and correctly interpret their emotions remains open.

The authors also draw attention to the issues of ethics and safety of using emotion recognition technologies. Modern systems often try to determine a person's emotional state based on physical, physiological, or behavioral markers. However, emotions can manifest themselves in different ways in different cultures and depend on many factors, which complicates the task of reliable recognition. Moreover, the possibility of emotional data manipulation raises serious ethical concerns, as such technologies can be used to control and influence people's behavior.

The project is presented both in the format of a media installation and in the format of an audiovisual performance. It invites reflection on the future of AI and its ability to perceive and interpret human feelings, offering a unique experience of interacting with virtual agents who "learn" to feel. Viewers are invited to watch an experiment where AI learns sensitivity by recognizing melodies broadcast by a musician.