USE OF AI IN ASSESSMENT OF PSYCHOPHYSIOLOGICAL STATE

Abstract

Modern artificial intelligence (AI) technologies are radically transforming approaches to assessing a person's psychophysiological state, opening up new opportunities for diagnosis, prevention and improving the quality of life. Psychophysiological state, as an integral indicator of physical and mental health, plays a key role in professions with increased responsibility, psychology, psychotherapy, medicine, education and everyday life. Traditional assessment methods based on subjective interpretation and a limited set of indicators are giving way to innovative digital solutions. Innovative approaches to biosignal analysis, emotion recognition systems by facial expressions and voice, allow for continuous monitoring of a person's condition with high accuracy. At the same time, they give rise to new ethical and legal challenges related to data confidentiality, algorithmic bias and the need for informed consent. The article examines in detail: modern methods of analyzing psychophysiological indicators using artificial intelligence; promising areas of application in psychology, psychotherapy, medicine, education, sports and security; ethical dilemmas and legal aspects of the use of neurotechnologies; new professions at the junction of psychophysiology and artificial intelligence; standards for validation and regulation of psychophysiological algorithms. Particular attention is paid to hybrid approaches, where artificial intelligence acts as a powerful tool for supporting decision-making, but does not replace human expertise. Modern research confirms that artificial intelligence in psychophysiology is a powerful auxiliary tool, but it cannot replace human expertise. In the field of diagnostics, algorithms are able to analyze complex biosignals, such as EEG or micromimicry, but the final diagnosis and treatment strategy, therapy remains with a qualified specialist.