Emotional algorithms represent a dense area of interaction between artificial intelligence and psychology. The ability of artificial intelligence systems to perceive, interpret and generate human emotions has the potential to have profound effects on both individuals and societies (Picard, 1997). Today, emotional artificial intelligence ("affective computing") enables the development of systems that aim to detect people's mood and emotional reactions with the help of various biometric and psychological data (Cowie et al., 2001). In this article, the basic principles of emotional artificial intelligence and its connections with psychological models are examined. In addition, the effects of this technology on individuals' mental health, ethical dimensions and social benefits are discussed. Emotional algorithms have a wide range of applicability, from social relationships to the workplace. It is seen that these systems make human-machine interactions more empathetic and personalized, especially in critical areas such as education and health (Schroeder et al., 2018). However, the possible manipulation risks and privacy issues of these technologies, which are not developed within the framework of ethical rules, are important points to consider. In the future, emotional artificial intelligence can be made more reliable and useful through interdisciplinary collaboration.