From Asimov to GPT: The Evolution of Security and Responsibility Issues in Artificial Intelligence Systems

Abstract

The article attempts a comprehensive socio-philosophical analysis of the evolution of security and responsibility issues in artificial intelligence (AI) systems, ranging from Isaac Asimov's classic "laws of robotics" to modern generative models such as GPT-4. The author substantiates the necessity of transcending the narrow ethical interpretation of technological risks, proposing to view them as fundamental challenges to human identity, existence, and social structure.

The purpose of the article is the theoretical substantiation and analysis of the transformation of institutional forms of education within a network society, identifying the peculiarities of spatial, communicative, and risk dynamics of both stable (traditional) and fluid (weakly institutionalized) educational structures in the context of the digitalization and globalization of social existence. Achieving this goal was facilitated by the application of scientific methods and approaches based on the principle of complementarity. The research methodology progressed from the philosophical level (the dialectical method) to general scientific methods and techniques, including historical-comparative analysis, analysis and synthesis, abstraction, and formalization.

The study proves that Asimov's "First Law" remains a central concern; however, contemporary AI systems create novel forms of threats—from the loss of human meaning due to automation to the undermining of critical thinking and creative uniqueness. A series of issues are identified: the opacity of algorithms, bias (discrimination), a deficit of responsibility, and threats to privacy. Using the GPT-4 model as an example, the article demonstrates the contradictory nature of modern AI, which, despite its ability to mimic creative activity, remains a "narrow" tool incapable of genuine innovation or an understanding of meanings.

The conclusions emphasize that humanity remains the sole source of authentic creativity, and overcoming technological threats is possible only through systematic humanitarian expertise and a clear definition of the boundaries for delegating authority to algorithms.