Ethical Dialogue with Artificial Intelligence: From Algorithms to Neural Networks

This article focuses on a comprehensive interdisciplinary study of the critical issue of ethical interaction with artificial intelligence (AI). It explores the growing need for a robust ethical and legal framework to guide the development and implementation of intelligent technologies that are increasingly integrated into society. The study traces the conceptual and technological evolution of "smart machines," from their early theoretical foundations focused on the formalization of human thought and symbolic logic to the modern era of advanced generative neural networks capable of creating original content. The central thesis of the work is to demonstrate a direct and growing relationship between the complexity of artificial intelligence technologies and the emergence of a wide range of ethical issues. This includes the problem of digital inequality, where access to and benefits from AI are unevenly distributed, potentially exacerbating existing social and economic disparities. The issue of "impartiality" is thoroughly examined, with a focus on how algorithmic bias can perpetuate and even amplify discrimination. In addition, the importance of "cultural diversity" is discussed, and the question is raised as to whether global artificial intelligence systems can respect and embody a variety of values and perspectives. A significant portion of the analysis focuses on the profound issues of responsibility and privacy. The authors emphasize the need for a deep moral understanding of the responsibility for actions performed by or influenced by high-tech systems, particularly in cases where decision-making processes are opaque (the "black box" problem). The protection of personal data in an era of widespread artificial intelligence-based analysis is considered a top priority. Along with the ethical analysis, special attention is paid to the current state of legal regulation. The article examines existing legislative initiatives and principles of interaction with artificial intelligence, which are already codified in the laws of various jurisdictions, and evaluates their strengths and weaknesses. Based on theoretical generalizations and a thorough analysis of the regulatory framework, the authors argue that the future development of artificial intelligence will be inextricably linked to the interplay of ethical and legal foundations. They argue that only through such a synthesis can the use of high-tech solutions be effectively controlled and guided for the benefit of society, both at the public and individual levels. In conclusion, the tautologists conclude that the symbiotic relationship between technical solutions and ethical and legal regulation is not only beneficial but also essential for creating a reliable, safe, and sustainable environment for human-AI interaction. This symbiosis is seen as the cornerstone of responsible and equitable AI utilization in the years to come.

artificial intelligence, ethics of artificial intelligence, neural networks, the genesis of artificial intelligence, digital inequality, data privacy, legal regulation of artificial intelligence, transparency of algorithms, the principle of accountability, responsibility