The research aims to explore the potential of neural interfaces for enhancing human–computer interaction and identify new possibilities for their application in everyday life and medicine. The role of audio information reconstruction in developing brain–computer interfaces is also examined. Based on the analysis of existing research and achievements in the field of neural interface development, the authors highlight the main problems and trends in this area. The authors show that neural interfaces can improve the quality of life for people with disabilities by enabling them to interact with the surrounding world. It can be assumed that the number of such developments will increase, along with the number of areas in which they find application, including medicine, education, and entertainment. Currently, certain successes can be noted only in invasive neural interfaces. However, due to their significant limitations, attention should be paid to developing minimally invasive and non-invasive brain–computer interfaces (BCIs). The work also analyzes studies dedicated to reconstructing audio information based on brain activity data using machine learning methods and evaluates their role in developing neural interface technology. In conclusion, the authors emphasized the importance of integrating neural interfaces into various aspects of public and private life, which can contribute to creating a more inclusive society.