Artificial Intelligence Concepts Research Articles

Application of artificial intelligence in retail

In the context of the contemporary Industry 4.0 concept, artificial intelligence (AI) has become an integral component of human lifeʼs success, the impact of which is increa­singly difficult to overestimate today. With the advent of AI, the everyday life of individuals has noticeably transformed. Neural networks are capable of working in an algorithmic way, adapt, learn, and even generate new inven­tions within a short span of time. Since the concept of AI appeared, fervent debates have revolved around its advantages and opportu­nities for modern society, ethical frameworks of application, risks, and the negative impact of AI on various professional spheres. However, the revolutionary changes brought about by AI, enabling individuals to delegate routine tasks and freeing up time for creative endeavors, remain indisputable. Despite the high significance of previously conducted research, the state and potential opportunities of industrial application of AI remain insufficiently explored. The purpose of the study is to determine the current trends in the development of artificial intelligence, to assess the actual state of use and to justify recommendations for the future use of AI systems in the retail sector. It has been deter­mined that the introduction of AI technologies is a modern global trend and one of Ukraineʼs priorities. It has been proven that the complex realities of domestic retail development unveil opportunities for digital transformation and the intensification of AI implementation. The current state of AI development has been examined: the leading countries in artificial intelligence implementation have been identified, and the retail sector has been ranked fourth among industries with high potential for the application of advanced technologies. To gain an understanding of AI development in retail, a survey was conducted, the results of which delineated business processes where AI techno­logies are actually applied and specified the goals of their application. The priority opera­tional processes of retail enterprises for the implementation of advanced technologies have been identified and ranked by the significance of AI systems, which are most relevant to modern retail. A list of AI systems has been sorted according to their purpose and functional capa­bilities in retail.

Problems of copyright for the products created by artificial intelligence

The article discusses current problems of authorship of intellectual products created by artificial intelligence, as well as the concept and legal personality (quasi-subjectivity) of artificial intelligence. The relevant provisions of the Civil Code of the Russian Federation (Articles 1225, 1228, etc.) and the practice of their application are analyzed using general and specific scientific methods – analysis, synthesis, analogy, formal legal, comparative legal methods, interpretation of legal norms, etc. Based on a study of legal literature and current regulations, the author analyzes the concept of legal personality (quasi-subjectivity) of artificial intelligence. It is shown that copyright for the products created by artificial intelligence has not yet been legally regulated. It is concluded that currently such a product does not fall under the criteria defined by Article 1228 of the Civil Code of the Russian Federation, and is not anyone’s intellectual property; thus, it is not subject to legal protection. For the purposes of legal regulation, the author proposes his own definition of authorship in relation to a product of intellectual creativity. Considering the rapid development of information technologies, the legal personality (quasi-subjectivity) of artificial intelligence needs scientific understanding. In the future, a legal definition of artificial intelligence should be adopted and corresponding copyrights should be regulated.

RAG based Chatbot using LLMs

Historically, Artificial Intelligence (AI) was used to understand and recommend information. Now, Generative AI can also help us create new content. Generative AI builds on existing technologies, like Large Language Models (LLMs) which are trained on large amounts of text and learn to predict the next word in a sentence. Generative AI can not only create new text, but also images, videos, or audio. This project focuses on the implementation of a chatbot based the concepts of Generative AI and Large Language Models which can answer any query regarding the content provided in the PDFs. The primary technologies utilized include Python libraries like LangChain, PyTorch for model training, and Hugging Face’s Transformers library for accessing pre-trained models like Llama2, GPT- 3.5 (Generative Pre-trained Transformer) architectures. The re- sponses are generated using the Retrieval Augmented Generation (RAG) approach. The project aims to develop a chatbot which can generate the sensible responses from the data in the form of PDF files. The project demonstrates the capabilities and applications of advanced Natural Language Processing (NLP) techniques in creating conversational agents that can be deployed across various platforms in the corporation, to enhance user interaction and support automated tasks. Index Terms—Generative AI, Artificial Intelligence, Natural Language Processing, Large Language Model, Llama2, Tran- formers, Document Loaders, Retrieval Augmented Generation, Vector Database, Langchain, Chainlit

TRENDS OF ARTIFICIAL INTELLIGENCE AND IMMERSIVE DESIGN USE IN THE FORMATION OF ARCHITECTURAL ENVIRONMENT

There is increasing attention to a new design methodology incorporating the latest achievements of a non-hierarchical way of forming based on the learning process of computers or machines, namely the concepts of artificial intelligence (AI) and immersive design, using virtual and other types of reality. The study aims to reveal the necessity to identify the main trends of artificial intelligence and immersive design use in architectural environment formation. The results can contribute to rethinking architectural design algorithms at the present stage and identifying potential opportunities for improvement. The paper describes the possibilities of AI and immersive design in architectural environment formation. Analysis of current research in this field has made it possible to identify trends that likely will continue to develop further and impact the architectural profession. One of these trends is the improvement of the architect’s toolkit, currently provided by additional plug-ins to existing programmes or separate services based on AI algorithms, but in the future, it may be a change in the programme code itself with a completely updated structure. In this case, the role of software from the architect-managed toolkit may shift to another plane, such as a digital assistant that partially or fully manages its responsibilities in working on an architectural project. The symbiosis of multidirectional but powerful immersive design technologies (VR, AR, MR) and AI algorithms is another trend in architectural environment formation. It can also be characterised as the most experimental and, at the same time, dynamically progressing, given the active development of its components. Another modern trend is to bring architectural design to a new level of a balanced combination of virtual and real. The immersion of the user in virtual reality for design work and demonstration of the relevant results is gradually changing as the 3D model of an architectural structure is increasingly manifested in the physical world, including at the implementation site, and interactive equipment with flexible and constantly evolving functionality provides architects with more opportunities for creativity. Keywords: artificial intelligence, immersive design, architectural environment.

USE OF ARTIFICIAL INTELLIGENCE IN EDUCATIONAL DESIGN FOR ARCHITECTURE STUDENTS

One of the promising areas of artificial intelligence (AI) use is architectural design. Most of the world-renowned architectural bureaus are experimenting and exploring the use of AI in their daily work. It is necessary to integrate the ability to apply such tools wisely into the education process for architecture students to be competitive and participate in projects involving AI successfully. The growing interest in AI among students and modern architectural educational institutions and bureaus determines the relevance of this research. The article discusses the specificity of the use of AI within the framework of architectural education, which involves providing students with access to resources and participation in international projects. AI makes it possible to develop creativity and promotes greater adaptability and openness of future architects to cooperate with professionals from different fields, promoting a holistic approach to design and problem-solving. Incorporating AI concepts and technologies into architectural education equips future architects with the skills and knowledge they need to thrive professionally. Some of the main benefits and results of the approach include access to AI tools and resources, interdisciplinary cooperation, innovation and creativity, environmental responsibility, efficiency, and project management. There are several directions to successfully use AI in educational design, such as: search for ideas, organisation of text information, and visualisation. Overall, AI’s impact on educational design for architectural students is quite significant. Integrating innovative technologies can improve the quality of education, provide students with new opportunities for developing creative and analytical skills, and prepare them for the challenges of modern architectural practice, with the consideration of ethical norms. This adoption also supports the development of sustainable design practices, as AI can analyse complex data to optimise the use of materials and energy in building projects. Further, AI-driven tools can help simulate and visualise environmental impact and sustainability, which is increasingly critical in modern architecture. Keywords: architectural education, innovation, design, artificial intelligence.

The Possibility of Applying Artificial Intelligence in the Delivery of Justice by Courts

Abstract The article analyses the prospects for the application of artificial intelligence in the delivery of justice by courts. The application of artificial intelligence is increasingly spreading in various different areas of life - both in the daily life of individuals and in the public sector. One of the main areas where artificial intelligence is already being applied is in the area of justice. However, given the complexity and importance of this field, the question arises whether artificial intelligence could really replace the person of the judge. In order to answer this question, the authors first assess what constitutes the delivery of justice. Secondly, the authors analyse the concept of artificial intelligence and the possibilities of its use. Thirdly, the authors assess the potential and risks of artificial intelligence in the delivery of justice. The paper reviews various artificial intelligence models already in use around the world and assesses the application of various technologies (large language models such as ChatGPT) in the court. Finally, conclusions are drawn as to whether artificial intelligence can replace the person of the judge.

On the Question of the Concept of Artificial Intelligence Technologies

Despite the existing legal definition, the concept of artificial intelligence, which has penetrated various spheres of human life, requires a more precise definition. However, in most cases, artificial intelligence is opposed to human intelligence, the so-called natural intelligence, which looks natural, but it is difficult to recognize as true. The article substantiates that the ways of understanding human intelligence and artificial intelligence (or machine intelligence) they are completely different because their nature is different. Based on the analysis of various approaches of scientists, both lawyers and engineers, as well as legislators to the definition of artificial intelligence, the author concludes that the most appropriate really understanding of artificial intelligence as a field of scientific knowledge of a complex nature. The author makes a conclusion about the ways of further application of artificial intelligence technologies in forensic activities, considering the spread of artificial intelligence technologies. The result of the study is the formulation of the definition of artificial intelligence technology.

Artificial Intelligence and Microbiology

The concept of Artificial Intelligence (AI) is increasingly important in the healthcare sector today. Components of AI such as machine learning and deep learning are being utilized in various applications within the field of microbiology. This study examines the uses of AI in microbiology and its role in healthcare applications. Machine learning enables computer systems to analyze data using algorithms that mimic human intelligence, while deep learning processes information through multi-layered artificial neural networks. These technologies are used in many areas such as microbiological diagnosis, drug discovery, infection control, and patient monitoring. For instance, AI-supported systems are used in microbiological diagnosis to shorten diagnosis times and increase accuracy compared to traditional methods. Additionally, smart systems developed for preventing hospital-acquired infections alert hospital staff, thus reducing the risk of infection. AI also plays a significant role in the diagnosis of microorganisms such as viruses and fungi. Especially, AI-supported image analysis methods are utilized for rapid and accurate diagnosis. However, there are some challenges in the use of AI. Issues related to data privacy and ethics are among the factors limiting the applications of AI in microbiology and healthcare. Furthermore, the cost and complexity of algorithm implementation pose additional challenges. By discussing the applications of AI in microbiology and its potential in the future, this study sheds light on innovative developments in the healthcare sector.

Fostering students' AI literacy development through educational games: AI knowledge, affective and cognitive engagement

AbstractBackgroundAs the significance of artificial intelligence (AI) continues to increase, there is a need for effective scaffolding and support for novice learners. Educators have encountered challenges in effectively scaffolding novice learners AI concepts, and providing appropriate motivational support. Research evidence has shown the potential of game‐based approaches to fostering secondary school students' AI literacy and motivation to learn AI.ObjectivesThis study developed an online platform TreasureIsland to gamify ebooks and investigated whether and how students playing with it can effectively enhance their AI literacy. This study aims to contribute an empirical and theoretical basis for AI literacy education and promote the use of gamification that would be broadly applied in other schools.MethodsA quasi‐experiment was conducted to evaluate the effects of the proposed gamified approach, which included a control group using an ebook with playful resources. To triangulate the quantitative results obtained from the pre and post‐test, focus group interviews were also conducted.ResultsThe platform was effective in improving students' motivation, self‐efficacy, career interest, and understanding of AI concepts and ethics, but did not enhance their confidence of using AI, and high cognition of applying, evaluating and creating AI. TreasureIsland players demonstrated significant improvement in all affective and cognitive domains, except for the ability to apply, evaluate, and create AI. Interviews revealed that the gamified approach could promote students' AI literacy by adhering to guidelines, including (1) creating a competitive and motivating learning environment through game mechanics, (2) providing scaffolding modules and feedback, and (3) visualising complex AI concepts via simulations. Feedback collected from the study suggested adding pedagogical elements such as flipped classrooms and project‐based learning in future research to improve the instructional design, and enable students to reach a higher level of cognition.ConclusionsThis study concludes that the use of gamification can provide affective and cognitive support and an enjoyable experience for fostering learners' AI literacy. It helps instructional designers and teachers enrich the pedagogical knowledge related to gamified platform and AI literacy.

MaGENEgerZ: An Efficient Artificial Intelligence-Based Framework Can Extract More Expressed Genes and Biological Insights Underlying Breast Cancer Drug Response Mechanism

Understanding breast cancer drug response mechanisms can play a crucial role in improving treatment outcomes and survival rates. Existing bioinformatics-based approaches are far from perfect and do not adopt computational methods based on advanced artificial intelligence concepts. Therefore, we introduce a novel computational framework based on an efficient support vector machine (esvm) working as follows: First, we downloaded and processed three gene expression datasets related to breast cancer responding and non-responding to treatments from the gene expression omnibus (GEO) according to the following GEO accession numbers: GSE130787, GSE140494, and GSE196093. Our method esvm is formulated as a constrained optimization problem in its dual form as a function of λ. We recover the importance of each gene as a function of λ, y, and x. Then, we select p genes out of n, which are provided as input to enrichment analysis tools, Enrichr and Metascape. Compared to existing baseline methods, including deep learning, results demonstrate the superiority and efficiency of esvm, achieving high-performance results and having more expressed genes in well-established breast cancer cell lines, including MD-MB231, MCF7, and HS578T. Moreover, esvm is able to identify (1) various drugs, including clinically approved ones (e.g., tamoxifen and erlotinib); (2) seventy-four unique genes (including tumor suppression genes such as TP53 and BRCA1); and (3) thirty-six unique TFs (including SP1 and RELA). These results have been reported to be linked to breast cancer drug response mechanisms, progression, and metastasizing. Our method is available publicly on the maGENEgerZ web server.

Artificial Intelligence in the Effective Execution Process of Construction Projects in the Future

The construction industry currently constitutes 13% of the global gross domestic product (GDP), with projections indicating an 85% increase in value to $15.5 trillion by 2030. The widespread adoption of information technology (IT) has significantly enhanced the integration of disparate data in construction project environments. Consequently, the construction sector including full construction value chain, is undergoing a transformative phase. The increasing investment in artificial intelligence (AI) makes it impossible to keep pace with its rapid advancements. Hence, this study aims to examine the role of AI in facilitating the effective execution of construction projects in the future. This research employs a document analysis approach and scrutinizes 20 relevant papers from both domestic and international scientific databases. Methodologically, this study adopts an applied research approach, and based on the method of data collection, it is considered a descriptive survey method. Therefore, a questionnaire was designed and distributed among 100 experts and practitioners familiar with AI concepts in Tehran for data collection to conduct a census-style field study. Subsequently, Smart PLS software was employed for data analysis. The findings not only validate the model's reliability, validity and fit but also present solutions and pertinent issues related to challenges concerning AI future role in enhancing project execution efficacy.

The white paper on artificial intelligence as a source for the formation of European Union legislation in the field of artificial intelligence

The article analyzes the provisions of the White Paper on artificial intelligence as a source of the formation of European Union legislation in the field of artificial intelligence. It is noted that the study of legal regulation of artificial intelligence in the European Union will contribute to the formation of the domestic source base in the field of application of artificial intelligence. It has been analyzed that in scientific circles, the provisions of the White Book on artificial intelligence are highlighted by domestic scientists in a fragmentary manner, which makes it difficult to comprehensively perceive the content and meaning of the White Book as a whole. The article states that the legislation of Ukraine needs improvement, which consists in compliance with European standards in the field of artificial intelligence. It has been established that it is advisable to enshrine provisions on the use of artificial intelligence at the legislative level. The article examines the provisions of the European Data Strategy, which recognizes artificial intelligence as an important component of the data economy. It has been studied that the provisions of the European Data Strategy provide for a combination of technology, industry, digital infrastructure and regulatory framework. It was noted that the provisions of the Strategy regarding artificial intelligence were further developed in the White Book. The article specifies the concept of artificial intelligence in accordance with the provisions of the White Book. It is noted that the Provisions of the White Book are aimed at ensuring consultation of interested parties, collection of feedback as a basis for future decision-making processes. It has been proven that the White Paper can be considered a political document containing the goals and possible actions of the European Commission regarding the regulation of artificial intelligence and contains a list of political proposals, intentions and recommendations. It is noted that the White Book is a framework for future legislative proposals on the formation of a legal framework related to artificial intelligence in the European Union. The article defines the structure of the main provisions of the White Book and establishes the fundamental principles that determine the development and implementation of artificial intelligence. Attention is focused on chapter 5 of the White Paper, which is devoted to the «Ecosystem of Trust: Regulatory Framework for Artificial Intelligence», which is devoted to the key elements of the regulatory framework for artificial intelligence in Europe.

Problematic aspects of the implementation of artificial intelligence in the field of jurisprudence

The article is devoted to highlighting problematic aspects of the implementation of artificial intelligence in the field of jurisprudence, in particular, in certain branches of law. Due to the rapid development of neural network capabilities, artificial intelligence is a tool for quickly completing tasks and processing information in various spheres of society, including in jurisprudence. Therefore, for a comprehensive analysis, it is necessary to identify problem areas for the implementation of such a phenomenon. It is noted that today there is no unified approach to defining the concept of artificial intelligence. The authors provide several definitions of this concept for the most complete understanding of the essence of artificial intelligence. The legislation does not contain a normative legal act dedicated to the issue of the essence and procedure for using artificial intelligence, which gives rise to such dilemmas. Despite the widespread use of artificial intelligence capabilities among citizens, there is a lack of interest, funding and development of educational methods for the effective use of artificial intelligence in professional activities on the part of government authorities. It is also stated that the introduction of artificial intelligence into professional activities requires staffing with specialists who can service the software. The problems of introducing artificial intelligence in the field of legal proceedings are analyzed. The use of artificial intelligence by courts risks undermining the autonomy of courts and the independence of judges. Artificial intelligence is not able to comprehensively evaluate evidence and make decisions based on moral standards. The issues of transparency of courts, guaranteeing fundamental human rights and freedoms, and software reliability remain open. The legal status of artificial intelligence in civil law is considered. Since artificial intelligence is capable of creating a work, questions remain regarding the protection of copyrights using artificial intelligence and legal liability in case of copyright infringement. A debatable and controversial topic is the definition of artificial intelligence as a subject or object in a civil legal relationship. It has been determined that the introduction of artificial intelligence in criminal proceedings can become a factor in increasing cyber attacks on the neural network with the aim of stealing, destroying, and making data public.

Exploring dental professionals’ outlook on the future of dental care amidst the integration of artificial intelligence in dentistry: a pilot study in Pakistan

ObjectiveThe purpose of this study is to explore the perspectives, familiarity, and readiness of dental faculty members regarding the integration and application of artificial intelligence (AI) in dentistry, with a focus on the possible effects on dental education and clinical practice.MethodologyIn a mix-method cross-sectional quantitative and quantitative study conducted between June 1st and August 30th, 2023, the perspectives of faculty members from a public sector dental college in Pakistan regarding the function of AI were explored. This study used qualitative as well as quantitative techniques to analyse faculty’s viewpoints on the subject. The sample size was comprised of twenty-three faculty members. The quantitative data was analysed using descriptive statistics, while the qualitative data was analysed using theme analysis.ResultsPosition-specific differences in faculty familiarity underscore the value of individualized instruction. Surprisingly few had ever come across AI concepts in their professional lives. Nevertheless, many acknowledged that AI had the potential to improve patient outcomes. The majority thought AI would improve dentistry education. Participants suggested a few dental specialties where AI could be useful.ConclusionThe study emphasizes the significance of addressing in dental professionals’ knowledge gaps about AI. The promise of AI in dentistry calls for specialized training and teamwork between academic institutions and AI developers. Graduates of dentistry programs who use AI are better prepared to navigate shifting environments. The study highlights the positive effects of AI and the value of faculty involvement in maximizing its potential for better dental education and practice.

AI Concepts for System of Systems Dynamic Interoperability.

Interoperability is a central problem in digitization and System of Systems (SoS) engineering, which concerns the capacity of systems to exchange information and cooperate. The task to dynamically establish interoperability between heterogeneous cyber-physical systems (CPSs) at run-time is a challenging problem. Different aspects of the interoperability problem have been studied in fields such as SoS, neural translation, and agent-based systems, but there are no unifying solutions beyond domain-specific standardization efforts. The problem is complicated by the uncertain and variable relations between physical processes and human-centric symbols, which result from, e.g., latent physical degrees of freedom, maintenance, re-configurations, and software updates. Therefore, we surveyed the literature for concepts and methods needed to automatically establish SoSs with purposeful CPS communication, focusing on machine learning and connecting approaches that are not integrated in the present literature. Here, we summarize recent developments relevant to the dynamic interoperability problem, such as representation learning for ontology alignment and inference on heterogeneous linked data; neural networks for transcoding of text and code; concept learning-based reasoning; and emergent communication. We find that there has been a recent interest in deep learning approaches to establishing communication under different assumptions about the environment, language, and nature of the communicating entities. Furthermore, we present examples of architectures and discuss open problems associated with artificial intelligence (AI)-enabled solutions in relation to SoS interoperability requirements. Although these developments open new avenues for research, there are still no examples that bridge the concepts necessary to establish dynamic interoperability in complex SoSs, and realistic testbeds are needed.

Innovative Application and Societal Impact of AI in Student Behavior Early Warning Systems within Smart Campuses

This study explores the innovative application and societal impact of artificial intelligence (AI) in student behavior early warning systems (EWS) within smart campuses. As information technology advances, smart campuses have become integral to modern education, and AI introduces new possibilities for EWS. Through literature review and theoretical analysis, this paper systematically reviews related studies, examining the current applications and potential societal impacts of AI in EWS. The study first defines the basic concepts of smart campuses and AI, followed by an analysis of AI's specific applications in EWS, including behavior data collection, analysis, and anomaly detection. A comprehensive review of existing research reveals that AI enhances the accuracy and timeliness of warnings and provides scientific decision support for educational administrators. However, AI's application also raises data privacy and ethical concerns, necessitating the development of relevant laws and ethical standards. The paper proposes future research directions, including optimizing AI algorithms, fostering interdisciplinary collaboration, and exploring AI applications in various educational settings. This study aims to provide theoretical support for smart campus development, promote the widespread use of AI in education, and enhance educational equity and quality.

챗GPT를 활용한 대학 교양 글쓰기 수업 방안

In this study, writing methods suitable for the era of artificial intelligence and various practices using ChatGPT are conducted. Accordingly, everyone learns to easily receive the information they want, and how to combine commands to write the tool efficiently. First, in Chapter 2, suggestions for starting an artificial intelli gence writing class and functional parts related to artificial intelligence, such as the concept of artificial intelligence and the most easily used ChatGPT, are identified. Chapter 3 makes learners recognize the imperfections and errors of artificial intel ligence in the process of criticizing and reflecting while comparing problems with the text of artificial intelligence and the text of ChatGPT. It also lays the foundation for learners to establish an ethical awareness system in using ChatGPT while con sidering the nature of writing and the purpose of artificial intelligence. The last chapter presents practice and example questions using ChatGPT, and mentions the necessity. It focuses on increasing the use of ChatGPT effectively while conducting step-by-step practice, from writing mail to writing an outline for logical writing in everyday life. Through these activities, we can acquire an opportunity to gradually step on the rapidly arriving changes of the times and use artificial intelligence tech nology with a sense of ethics in the future, and learners can go as far as realizing the essence of writing through comparative learning.

Adjusting the Ideal Islamic Religious Education Curriculum to the Development of AI-Based Technology

The development of technology is currently experiencing a very rapid development, one of which is the emergence of an innovation called AI (artificial intelligence). Islamic religious education indirectly gets an impact on the emergence of AI (artificial intelligence) so that it requires adjustments in the Islamic religious education curriculum so that the Islamic religious education curriculum remains ideal with the times. This research is a qualitative research using library study research method with causal descriptiva analysis. Primary sources in this research are all literature relevant to this theme, namely the Islamic religious education curriculum and AI (artificial intelligence) and secondary sources focus on other literature that is indirectly relevant to this research. The result of this study is to describe five adjustments to the Islamic religious education curriculum towards AI (artificial intelligence), namely understanding the concept of technology and AI, ethics of using AI, digital literacy skills, character education, and strengthening Islamic values.

Legal framework for AI applications

Artificial intelligence (AI), the most widespread technological term, has become an integral part of human daily life. People are becoming increasingly dependent on AI-powered devices; thus, it is now essential to have a legal framework to oversee artificial intelligence's various uses and legal peculiarities. As artificial intelligence has entered all areas of life and into various sectors, which requires examining in detail the legal nature of artificial intelligence, determining the laws that must be applied to it, and identifying the people or entities responsible for it to determine the scope of their responsibilities for the resulting damages that may be caused to others as a result of the use of intelligence. Artificial, this research aimed to examine the adequacy of the legal rules in Jordanian legislation regulating the provisions of artificial intelligence in light of the diversity of its applications and its different legal nature. The research is divided into two chapters. The first chapter presents the concept of artificial intelligence, and the second chapter discusses the legal liability of artificial intelligence. The results of the research revealed that the Jordanian legislator did not specify the legal nature of the artificial intelligence and contented himself with stipulating it in separate texts, Legal liability resulting from utilizing artificial intelligence systems can be challenged under regulations of the defect in manufacturing, responsibility for guarding things, and the distinction between responsibilities due to the degree of independence and intelligence of artificial intelligence, In determining the liability of artificial intelligence, the legislator should consider the types of artificial intelligence systems, their different capabilities, and their independence from humans, The process of enacting special laws regulating all aspects of artificial intelligence must be expedited. This law should be characterized by flexibility that enables it to keep pace with and rapid development witnessed in this field.

Challenges Related to Grammatical and Morphological Processing of Arabic Texts by Means of Artificial Intelligence

This research aims to study the challenges facing artificial intelligence in processing Arabic texts grammatically and morphologically, by conducting a survey on a random sample of Microsoft Word 2010 users. The research provided a theoretical framework for the subject of the study, as it addressed the concept of artificial intelligence, as well as the general challenges facing artificial intelligence and some challenges specific to processing Arabic texts. The research relied on the descriptive approach, and this helped highlight the importance of the study and provide a comprehensive vision of its subject. The study concluded a set of results, the most important of which are: - There are many challenges facing users in processing Arabic texts grammatically and morphologically, such as derivation, morphology, and the breadth and comprehensiveness of the Arabic language. - The inability of artificial intelligence so far to reach a high degree of quality and efficiency in processing Arabic texts grammatically and morphologically. - The possibility of processing the Arabic language in the future by adding some software operations that help develop the machine’s capabilities to understand the Arabic language and the ability to express it effectively, through the use of new artificial intelligence methods, such as deep learning and machine learning. The study recommended a number of important recommendations, which are: - Microsoft Word is constantly updated by Microsoft, in order to ensure the quality and efficiency of the program in processing Arabic texts grammatically and morphologically. - Encouraging students and researchers to conduct more scientific research in the field of automated processing of linguistic texts, in order to enhance the progress and development of this vital field.