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This paper aims to increase corporate social responsibility (CSR), including business acting in an ethical and transparent way, through the prism of strategic conversation with applying the author’s convergent methodology that ensures the integrity, purposefulness and sustainability of development of corporations in the external environment.

The methodology is based on the integration of following approaches and methods: international CSR standards, strategic planning, networked virtual collaboration, group cognitive (conceptual) modelling, inverse problem-solving in topological spaces, categories theory, control thermodynamics, big data analysis for cognitive models verification and quantum semantic approach.

The convergent methodology helps to visualize the strategic situation in a corporation and gives more chances to get a clear feeling for every employee that his or her social responsibility helps to achieve not only his or her own goals but the goals of the company. This approach helps to accelerate the raising of the level of CSR.

The strategic situation for raising the level of CSR has to be represented during strategic conversations. The strategic process should cover all the employees of the corporation. Groups can be hierarchically organized. The number of participants of one group can be about 35, and the duration of one conversation is up to 5 hours.

The convergent methodology was applied many times for creating a high-level CSR atmosphere by the collective building of companies’ strategies.

The convergent approach provides proactive identification of adverse effects of the external environment on the level of CSR and prevention of such impacts. The approach also provides acceleration of corporate strategic planning, processes of network democracy and group decision-making processes.

The main developing problem, which is beyond the state of the art, is that the CSR situation cannot be described in a clear, logical and formalised way, and a traditional computer model cannot be created for this case with formalised approach. The proposed convergent methodology with cognitive modelling helps to do it.

The purpose of the paper is to propose an effective approach of artificial intelligence (AI) addressing social-humanitarian reality comprising non-formalizable representation. The new task is to describe processes of integration of AI and humans in the hybrid systems framework.

Social-humanitarian dynamics contradict traditional characteristics of AI. Suggested methodology embraces formalized and non-formalized parts as a whole. Holonic and special convergent approaches are combined to ensure purposefulness and sustainability of collective decision-making. Inverse problem solving on topology spaces, control thermodynamics and non-formalizable (considering quantum and relativistic) semantics include observers of eigenforms of reality.

Collective decision-making cannot be represented only by formal means. Thus, this paper suggests the equation of hybrid reality (HyR), which integrates formalizable and non-formalizable parts conveying and coalescing holonic approaches, thermodynamic theory, cognitive modeling and inverse problem solving. The special convergent approach makes the solution of this equation purposeful and sustainable.

The suggested approach is far reaching with respect of current state-of-the-art technology; medium-term limitations are expected in the creation of cognitive semantics.

Social-humanitarian events embrace all phenomena connected with individual and collective human behavior and decision-making. The paper will impact deeply networked experts, groups of crowds, rescue teams, researchers, professional communities, society and environment.

New possibilities for advanced AI to enable purposeful and sustainable social-humanitarian subjects. The special convergent information structuring during collective decision-making creates necessary conditions toward the goals.

This study aims to explain and illustrate the character of Russian systems thinking and to show how it is different and similar to traditions in the West. This study’s second aim is to describe the contributions of some Russian scientists to developing systems thinking and the theory of evolution. This study introduces the predecessors of Charles Darwin in Russia, both supporters and critics of his ideas, as well as scientists who have made similar contributions to the development of systems thinking, particularly Vladimir Vernadsky and Alexander Bogdanov.

Philosophical and theoretical comparisons. In the Russian intellectual tradition, the terms “Russia” and the “West” are likely codes for signifying fundamental philosophical questions about the universality of thinking and culture. The term “West” means universal, rational truth without taking into consideration any differences in life and cultural practice. The term “Russia” means impossibility of such a universal truth and a necessity to look for solutions on the level of life, not only on the level of rational thinking.

Paying attention to differences in approaches to systems and cybernetics and the theory of evolution will enrich the further development of systems sciences in Russia and the West. The paper examines the philosophical underpinnings of science rather than just testing or extending an existing theory. The result is better mutual understanding among scientists with different backgrounds.

This study suggests new avenues for research and expands the range of conceptual possibilities. It improves mutual understanding among scholars and countries. Also, it adds to the topics discussed within the field of systems and cybernetics and the theory of evolution.