Philosophical-Methodological and Social Aspects of Society's Informatization: Towards Building a Model of Culturally Conditioned Human-AI Interaction

The subject of the study is culturally conditioned human-artificial intelligence interaction amid the global spread of intelligent agents and a crisis of cultural representation in digital environments. It examines how dominant language corpora and value systems cause cultural drift and covert interface standardization, creating asymmetrical symbolic communication spaces. Culture is viewed as a multi-level meaning system influencing phenomenological communicative practices (speech acts, intonation, pragmatics), agent social presence and role perception, and axiological values/beliefs. The subject covers empirical human-machine communication forms and their philosophical-methodological analysis, addressing artificial intelligence neutrality, value transparency, and responsible human choice in normative/value uncertainty. The methodology employs philosophical-hermeneutic approaches with systems analysis, using conceptual modeling of human-artificial intelligence interaction across three levels: phenomenological, social, and axiological. Qualitative methods include cultural text interpretation and literature analysis. Scientific novelty includes a theoretical model of culturally conditioned interaction with three interconnected levels: phenomenological (speech acts, intonation, pragmatics), social (social presence, agent role), and axiological (values, beliefs). It identifies a transitional communication dialect with weakened ritualized forms and instrumental paralinguistics, plus a paradigm shift from cultural adaptation to meta-reflective systems that disclose values and aid moral choice, drawing on Thomas Nagel's value incommensurability. Conclusions highlight ethical issues of full artificial intelligence neutrality in value pluralism, positioning the model as engineering guidance and a philosophical lens for intersubjective human-machine communication.