Epistemological Consequences of the Introduction tf Artificial Intelligence and Blockchain in Socio-Humanitarian Scientific Activity

The article is devoted to the analysis of the epistemological consequences of the introduction of blockchain and artificial intelligence (AI) in socio-humanitarian sciences. The author explores how these technologies transform the traditional principles of scientific knowledge – objectivity, verification and intersubjectivity. Blockchain, by ensuring the immutability of data, creates a paradox of inflexibility, threatening to dogmatize knowledge, while AI, by revealing hidden patterns, replaces hermeneutics with quantitative metrics. The key philosophical challenges are considered: the ontological status of AI as an actor, the ethical dilemmas of responsibility for algorithmic errors, and the conflict between decentralization and peer review. Using the examples of cases (AI Historian, The Pudding, Orvium), it is shown that digital technologies not only expand research opportunities, but also carry risks of reducing the complexity of humanitarian knowledge. In conclusion, the need for a hybrid epistemology combining digital and classical methods, as well as the development of ethical principles for the responsible use of technology, is substantiated.