Neurotechnologies in Education: Personalization of Learning Through a Recommendation Service

This article examines the phenomenon of automation bias as one of the significant cognitive biases accompanying the introduction of artificial intelligence (AI) systems into education. An analysis of the scientific literature has been carried out in order to determine the mechanisms of this distortion, its manifestations and associated risks. The main threats associated with the use of AI in such areas as automated knowledge assessment, personalization of training and administrative management have been identified. The paper suggests ways to mitigate risks aimed at building adequate trust in technology.