Proceedings of the International scientific and practical conference ―Science, Technology and Art in Global Context‖ (December 12-14, 2025) / Publisher website: www.naukainfo.com. – Cambridge, United Kingdom, 2025. – 190 p.

145 very mode of scientific thinking: from interpretation to calculation. However, algorithmic systems work on the basis of historical data, which contain biases. As a result, the technologies can reproduce implicit social and cultural asymmetries hidden in the training samples. This creates the illusion of ―algorithmic objectivity‖, which in fact requires critical audit. The problem of responsibility in digital science comes to the fore. Especially in areas with high risks (medicine, ecology, security), opacity, possible errors of the artificial intelligence algorithm create the danger of erroneous decisions. Therefore, the importance of explainability - the ability of algorithms to be explained and understood - is growing. Without this, it is impossible to ensure the trust of the scientific community in digital results. In the end, objectivity in a global context is not an absolute, but a process of constant refinement and verification. It arises as a joint activity of people, institutions and technologies. Intersubjectivity becomes a tool for maintaining the unity of the scientific space, allowing for the construction of common criteria of truth despite cultural, methodological and technological differences. Accordingly, regarding the legitimacy of science and communicative trust in the 21st century. These characteristics increasingly depend on how effectively the scientific community communicates its results to the public. The modern information space is characterized by the redundancy of data, the speed of their circulation and the growth of the role of unqualified commentators. Scientific knowledge finds itself in competition with emotional messages, pseudoscientific claims and politicized interpretations. This creates a need for science not only to produce truth, but also to ensure understandable and responsible communication. In the modern world, new communication tools are gaining special importance: open data, pre-prints, open reviews, citizen science, educational platforms. They contribute to the transition from the model of ―trust by status‖ to the model of ―trust through transparency‖. The public gets the opportunity to see the process of knowledge production, and not just its result. This reduces the distance between