Abstract: The subject of the study is a spontaneously generated text by the voice assistant Alice when it is creating a fairy tale together with the user, and the purpose of the study is the transformation of the structure, fairy-tale formulas and context in terms of the selection of linguistic elements and meanings using artificial intelligence technology. Particular attention has focused on the skill "Let's make it up", which became available to users in the spring of 2023. The collision and interaction of folklore canons with the realities of the 21st century give rise to an ambiguous reaction to the interactive opportunity to play the role of a storyteller together with a voice assistant.
The main research method was a continuous sample, which was used to distribute the steps, stages and actions when it is creating a fairy-tale plot together with a voice assistant. In addition, methods such as comparative and contextual analyses were used to identify similarities and differences between traditional Russian fairy tales and a spontaneously generated fairy tale plot. To obtain the data and subsequent analysis of the components, a linguistic experiment with the voice assistant Alice from Yandex was conducted and described.
The rapid development of neural network language models allows us to talk about the scientific novelty of the material under study, since this area is unexplored and is being modified too quickly. It is important to emphasize that to date, the texts of spontaneously generated fairy-tale, their structural division and the correspondence of fairy-tale formulas in them to folklore canons have not been studied. The main conclusion of the study is that the user's share in creating a fairy tale with the voice assistant Alice is greatly exaggerated.

Abstract: The subject of the study is the content of personal meanings of greeting questions in the context of English communication formulas of Siri. The object of the study is the ability of the voice assistant to simulate spontaneous dialogue with a person and the adaptation of artificial intelligence to natural speech. The purpose of the study is to identify the features and level of Siri's language skills in the process of communicating with users in English. Such aspects of the topic as the problem of understanding that exists in two types of communication are considered in detail: 1) between a person and a person; 2) between a machine and a person; the use of stable communication formulas by artificial intelligence as responses to the question «How are you?»; determining the level and speech-making potential in the responses of the voice assistant. The following methods were used in the research: descriptive, comparative, contextual, comparative method and linguistic experiment. The scientific novelty is that the problems related to encoding the personal meanings of the Siri voice assistant have never been studied in detail in philology and linguistics. Due to the prevalence use of voice systems in various spheres of social and public life, there is a need to analyze errors in speech and describe communication failures in dialogues between voice assistants and users. The main conclusions of the study are: 1) the machine is not able to generate answers based on the experience of past impressions; 2) deviations from the norms of English speech etiquette in Siri's responses are insignificant, but often lead to communicative failures; 3) the one-sided encoding of personal meaning was found in the responses: from the machine to the person, but not vice versa.