ETHICS AND RESPONSIBILITY IN THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN JUSTICE

The article examines the complex challenges and prospects arising from the implementation of artificial intelligence (AI) in the justice system. The growing role of automated algorithms in legal procedures demonstrates the intention to increase the efficiency of judicial proceedings and optimize the work of law enforcement agencies. At the same time, the use of AI can give rise to a number of ethical, legal and technical problems, particularly issues of transparency, accountability, algorithmic discrimination and biases that manifest in judicial practice and law enforcement processes. The article analyzes scientific approaches to the formation of principles of accountability when making AI decisions and proposes theoretical and practical guidelines for developing the transparency and reliability of intelligent algorithms in the legal sphere. Considerable attention is paid to the research methodology, which combines formal-legal and empirical methods, as well as algorithmic modeling and machine learning tools. The “Results” section provides examples of quantitative analyses and compares the effectiveness of different approaches to the application of AI in jurisprudence. Visualizations and tables demonstrate statistical information and features of the integration of AI into judicial procedures and legal practice. The “Discussion” highlights the theoretical and practical aspects of the developing of an ethics code and legal regulation possibilities, considering diverse challenges. It is concluded that for the effective implementation of AI in justice, wholesome models of transparency, independent auditing and regulatory mechanisms should be developed that also consider the specifics of the judicial system, human rights and the protection of confidential information. Proposals are formulated to establish the responsibility of developers, users and government agencies.