"Are we intelligent enough to understand intelligence? One approach to answering this question is "artificial intelligence," the field of computer science that studies how machines can be made to act intelligently. This book is intended to be a comprehensive introduction to the field of artificial intelligence, written primarily for the student who has some knowledge of computers and mathematics (say, at the junior or senior levels of college). In general, this book is addressed to all persons who are interested in studying the nature of thought, and hopefully much of it can be read without previous, formal exposure to mathematics and computers.

Following the methodology of civil research, the concept of artificial intelligence is analyzed and the conclusion about the fallacy of recognizing the legal personality of artificial intelligence is argued. Artificial intelligence as a result of complicated programming is a complex object of civil rights, which includes various structural elements — the results of intellectual activity. The mechanism of acquiring the right to use the results of intellectual activity included in a complex object by a person who organized the creation of artificial intelligence is considered. The essence of legislative exceptions from the general rules on agreement on the alienation of exclusive rights and license agreements in relation to artificial intelligence is analyzed. The conclusion is substantiated that in the absence of regulation of relations on the acquisition of the right to a complex object, it should be provided for: an agreement between the person who organized the creation of artificial intelligence and each of the right holders of the result of intellectual activity that is part of artificial intelligence, or a special condition provided for in the agreement on the alienation of the exclusive right to the result of intellectual activity in as part of an artificial intelligence or a license agreement with each right holder. The conclusion is reasoned that the person who organized the creation of artificial intelligence, in the presence of the considered legal grounds, acquires not only the rights to the relevant results of intellectual activity — structural elements of artificial intelligence, but also the right to the entire artificial intelligence as a whole.

The realm of Artificial Intelligence is the discipline of crafting intelligent machines and smart computer systems through science and engineering. It is connected with parallel endeavors in utilizing computers to grasp human intelligence though intelligence can transcend methods that are biologically observable. Although there is no universally agreed upon definition for Artificial Intelligence (AI), it is typically recognized as the field of computer science which can emulate human cognitive functions that include but are not limited to processes like perception, reasoning or decision-making. This research paper focuses on what artificial intelligence is all about, how we are depended onto AI in our daily life or what are the applications of AI, Different AI tools or machines powered by AI

Considering the promises and perils of contracting for the use of artificial intelligence tools and data.

The introduction of artificial intelligence technology has brought new opportunities for the field of electrical engineering automation. This study mainly discusses the application of artificial intelligence in electrical automation, especially in the diagnosis of power system, summarizes several ways of power system diagnosis, and further explores a new way of power system diagnosis.

ABSTRACT In this paper, we will look at how Artificial Intelligence (AI) can be used to address cyber security concerns and threats. Since the last decade, cyber security has grown exponentially. As a result, the number of applications and threats is steadily increasing. This study discusses the applications of artificial intelligence in cyber security and sheds some insight on the drawbacks. Keywords: Artificial Intelligence, Cyber Security, Cyber-threats, Block chain

Abstract Significant progress in the field of Artificial Intelligence (AI) has been highlighted over the past decade. Its continuously evolving applications have found various uses in the medical field, focusing on prevention, screening, and treatment for a wide range of conditions, as well as anticipating their progression. In the field of cardiology, various AI models have proven their effectiveness in interpreting data from technologies such as electrocardiography and imaging, demonstrating their utility in interpreting echocardiography, nuclear magnetic resonance, as well as computer tomography. The integration of artificial intelligence into electrocardiogram (ECG) analysis not only improves the accuracy of diagnosis but also facilitates the recommendation of personalized and optimal treatment for each patient. Cardiovascular imaging has become an extremely advanced research field within AI, with echocardiography being an excellent method for non-invasive evaluation, both quantitatively and qualitatively, of cardiac function. The implementation of artificial intelligence in analyzing images obtained through nuclear magnetic resonance and computer tomography has also been successful in identifying specific conditions, such as myocardial ischemia or obstructive coronary artery disease.

In the modern world, artificial intelligence has become not only a technological but also a social phenomenon. It is actively used in public administration, the military sphere, civil law, scientific and creative activities. One of the negative aspects of artificial intelligence is its use in illegal activities when committing offenses. In this regard, the possibility of granting artificial intelligence legal personality is being actively discussed. Today, it is extremely important to understand what role in legal relations should be assigned to artificial intelligence - an object or a subject. According to the author of the article, technologically, artificial intelligence is a computer program and only imitates some intellectual functions of human consciousness. Modern knowledge about the brain and human thought processes does not allow us to build an accurate artificial model of human intelligence, which means that artificial intelligence cannot be a subject of law and have legal personality. The specificity of artificial intelligence imposes significant restrictions on its use in law enforcement when human and civil rights and freedoms are affected.

Objective: The existing literature on artificial intelligence is reviewed with the aim of identifying interesting and novel research avenues. This leads to a focus on experiences, customisation, diversity and strategy as the main issues requiring further investigation. Research Design & Methods: A systematic literature review was conducted on articles related to artificial intelligence and business using various databases including Scopus, Web of Science and Google Scholar. Findings: Artificial intelligence is a hot topic particularly for international business managers who are incorporating technological innovation for competitive reasons. This article focuses on the link between artificial intelligence and international business in terms of future research opportunities. Implications & Recommendations: The results of this study will help business managers and practitioners understand the main trending areas related to artificial intelligence in a business setting. It is recommended that academic researchers and policy makers consider the future research suggestions stated in the article in order to help them derive new research directions. Contribution & Value Added: Potential research topics and questions are stated that help international business researchers and practitioners focus on key important areas. Thereby helping to consolidate the existing research but also offering new possibilities regarding the use of artificial intelligence in international business.

This article examines the evolving relationship between creativity and artificial intelligence in design by analysing how artificial intelligence tools influence creative work within designer-led processes across design domains. A semi-systematic literature review of 67 studies maps artificial intelligence contributions to idea generation, decision-making, and conceptual exploration across stages of the design process. Findings inform a functional taxonomy grouping tools by creative support roles, stimulus generation, optimisation, evaluation, and hybrid workflow support, prioritising situated use over technological typologies. Recurring challenges include dependence on automated outputs, interface-driven shifts in ideation strategies and reduced diversity of exploration. The taxonomy enables assessment of how artificial intelligence contributes to ideation and refinement, informing research, education, and professional practice concerned with exploratory breadth, diversity, and workflow efficiency.