The third issue of the Information Society Journal for 2026 is published. The main theme of the issue is Digital environment: trust, power, and humanity. The articles in this issue cover, among others, the following topics:
Accessibility begins with information
Digital society tests the maturity of institutions
New technologies expose old social divides
Human beings and neural models: collaboration without replacement of thinking
Artificial consciousness is not just a technical issue
Big data is changing our view of the future
Participatory technologies are not a substitute for dialogue
Digital currency as a test of public trust
A digital object is no longer just a thing
Algorithms in sports: precision instead of intuition
In her address to readers “Epistemological Integrity in the Age of Artificial Intelligence,” editor-in-chief Tatiana Ershova wrote:
We once again address a topic that looms large over all discussions about the future of our society—the risks of using artificial intelligence. The occasion for reflection was the publication on May 24, 2026, of a document entitled “A Manifesto for Biological Intelligence: Humans must reign over machines and tame the silicon beast”. The manifesto was written by Dr. Louise Zharovsky from Israel. Our Russian colleague Natasha Khramtsovskaya translated it and published it on her blog, “Who Doesn’t Move Forward, Moves Backward.”
The manifesto reads like a passionate hymn to the human mind, its unique capacity for intuition, empathy, and deep understanding of context. The author cautions against hastily replacing natural intelligence with artificial intelligence, reminding us that an ontological void often lurks behind the façade of algorithmic efficiency. This is not a rejection of technological progress, but a call for intellectual hygiene. It raises a crucial question: by delegating cognitive functions to neural networks, are we missing the very essence of cognition?
Modern research in the field of epistemic integrity, which is growing in number, raises a fundamental question: is a neural network a tool or an agent? For some time now, we have been witnessing a paradigm shift: AI is no longer simply a passive computing device and is becoming a “quasi-subject” actively shaping our view of the world. However, as philosophers emphasize, this subjectivity is relational; it arises only in the context of human-machine interaction. Moreover, trust in AI should not be based on the illusion of its objectivity. The key challenge is creating an “epistemic infrastructure” capable of explaining why a model yielded a particular answer, what sources underlie it, and what their reliability is.
Analyzing these two intellectual vectors leads us to a key conclusion: the future lies in developing a balanced, rational, but not technophobic approach. This is not about fighting AI, but about redefining the boundaries of responsibility. This task requires an interdisciplinary dialogue in which the voices of philosophers, sociologists, technology developers, and regulators speak in unison. The Manifesto reminds us of the value of natural intelligence, while philosophy points out how to integrate machine intelligence into the processes of cognition and the representation of its results. Only in this way can we realize the enormous positive potential of AI while minimizing its negative effects. Our journal pays close attention to articles presenting research results in the field of artificial intelligence. This issue also includes several articles touching on the philosophical and legal foundations, challenges, and prospects for the creation and use of AI technologies. They are posted in the sections “Fundamental research in the field of information society development”, “Socio-economic aspects of the information society”, “The Human in the information society”, “Information society and law”.