The title of the paper can very easily suggest that a topic is from the field of technical sciences, which is not the case here. The security of Artificial Intelligence systems (AI) in international maritime transport is addressed by an interdisciplinary, multidisciplinary and transdisciplinary approach, especially in the field of social sciences. Accordingly, the term AI can be said to represent a technology that will transform every layer of life, ie it will enable human users to analyze data, integrate information in a faster and more accurate way, and use the obtained results to improve the decision-making process. This doctoral dissertation, in one part, tries to point out the advantages and disadvantages of using the AI systems through an interdisciplinary, multidisciplinary, and transdisciplinary approach, ie point out the elements by which AI is already changing the world and highlight important issues that will focus on legal aspects, society issues, security challenges, economy and management of AI systems. AI systems can learn and adapt in decision making process. For example, the use of AI in transport systems results in semi-autonomous or autonomous vehicles / vessels that inform operators about upcoming traffic jams and distrubances, or participate in the creation o fan optimal navigation route concering weather conditions, desired fuel savings, etc. Advanced sensors, modern algorithms and othet software and hardware solutions in a certain part, already now, can replace human operators and their experience and thus reduce the possibility of errors. Following the above, special emphasis is placed on the safety of the AI system in international maritime transport with the accompanying additional research. Additional research was based on the legal regulation of AI in international maritime transport and a comparative analysis of legal reports in the field of AI for selected countries. The legal framework of AI in international maritime transport was based on key international maritime organizations and legal acts governing the maritime economy and the possible need to update them following the forthcoming application of AI in international maritime transport. After the processing of basic legal acts regarding the AI, the emphasis was placed on the application of AI in society and its social impact. Accordingly, the history of AI development and the development of maritime navigation itself have been elaborated, and the manifestations of AI components have been clarified. This disertation tried to define the AI 399 itself, ie the true AI from the forensic standpoint, which can result in a valuable scientific contribution, especially if we take into account the countless attempts of world experts to define the AI uniformly. Given that social values and ethical norms are important determinants in the development of artificial systems that would make decisions instead of and with the help of people, Ethical gAIdelines for trustworthy AI are specifically addressed in the social part of this paper. This category includes the principle of human autonomy, the principle of harm prevention, the principle of fairness and explainability as well as human action and supervision, and technical resilience and security of the system, privacy, transparency, diversity, nondiscrimination, social and environmental well-being and responsibility. Building on the Ethical Guidelines, the elements necessary for the creation of such systems and gaining trust in them are discussed. This includes elements such as the explainability and accountability of the AI system, ie verifiability and fairness. Given that AI will have a significant impact on society in the business aspect, the situation in the world of business is especially analyzed with emphasis on international maritime transport, opportunities and challenges and advantages and limitations of AI in this aspect of social action. In support of the thesis that AI will have a significant social impact, the so-called Asilomar principles of AI are analyzed, ie moral and ethical dilemmas that may arise from the use of AI in society and significant economic entities. Finally, attention was drawn to the economic factors of the use of AI in society, ie the impact on gross domestic product (GDP) and potential reforms of the tax system. In the third part of this doctoral dissertation, the emphasis is placed on the use of AI in international maritime transport, i.e. its safety. An introductory overview of electronic navigation devices as those devices that would form subsystems of the AI system in international maritime transport was made. The use of AI in maritime affairs is mostly manifested through autonomous ships, digital ports, virtual assistants, precise document processing and an environmentally friendly approach. Since autonomous vessels are most known systems that would use AI, they are specifically analyzed through the prism of AI management responsibilities of such vessels, ie the advantages and disadvantages of AI systems in autonomous vessels are indicated, which resulted in a model of improving existing systems. Also, the scientific contribution of this paper can be valued through the analysis of safety and technical supervision of ship electronic navigation devices and the model for determining the safety of the AI system in international maritime traffic. Considering that AI systems are based on online operations either locally or globally, the security of AI systems in cyberspace has been specifically analyzed. With an emphasis on prevention rather than remediation of potential cyber threats, it is important to adopt key plans and procedures for on-board AI systems, identify threats and vulnerabilities, and assess the likelihood that cyber threats may occur, and what impact and risk it will carry. Finally, such an approach aims to develop protection measures as well as detection measures and provide a response to possible cyber incidents. All these elements have the ultimate goal of increasing the safety of the AI system in international maritime traffic.