Penelitian ini membahas tentang pemanfaatan Artificial Intelligence (AI) sebagai transformasi pembelajaran digital. Artificial Intelligence (AI) atau kecerdasan buatan adalah bidang ilmu komputer yang dikhususkan untuk memecahkan masalah kognitif yang umumnya terkait dengan kecerdasan manusia, seperti pembelajaran, penciptaan, dan pengenalan gambar. Jenis-jenis platform Artificial Intelligence yang dapat digunakan yaitu aplikasi teks, presentasi, hitungan, photo, global positioning system (gps), pengenalan wajah orang, rekomendasi otomatis (e-commerce) dan asisten virtual. Apalagi perkembangan zaman yang menuntut lembaga pelatihan dapat meningkatkan kualitas pelatihan dengan teknologi dan update informasi. Oleh karena itu, dengan Artificial Intelligence, semua proses pengerjaan dilakukan secara otomasisasi sehingga dapat selesai dengan waktu yang cepat dan tepat. Tujuan penelitian ini adalah untuk mengetahui bagaimana pemanfaatan Artificial Intelligence sebagai transformasi pembelajaran digital dalam pelatihan dan apa saja platform artificial intelligence yang dapat digunakan. Penelitian ini menggunakan metode studi pustaka dengan mengumpulkan beberapa referensi literature ilmiah tentang artificial intelligence yang dapat digunakan sebagai transformasi pembelajaran digital. Hasil penelitian berupa penjelasan mengenai pemanfaatan artificial intelligence atau kecerdasan buatan sebagai transformasi pembelajaran digital dalam pelatihan sehingga dapat memperlancar proses pembelajaran dalam pelatihan dan up to date dengan perkembangan teknologi.

Artificial intelligence is a very vague notion, which relies on a quite strong technical and economic development. lt is meant to be part of our lives massively around 2025, including some medical applications. So, what would them be?Its project consists in data massive collect and deep learning, to supplant the most expensive and less efficient part of the medical act, so that the doctor, and more generally the whole health crew, would serve the artificial intelligence. This poses several moral, legal and practical questions: how could this data be collected? How can this system be put into motion? Who can access to this big data? What do the patients’legal rights consist in, concerning this data? What is the legal framework? Artificial intelligence admits some limits, which it does not necessarily have knowledge of; these are the limits that turn security it aims to self quite unstable. What would we do though the system gets uncontrollable? What are the vocational training perspectives in the domains where artificial intelligence took human’s place?Artificial intelligence would not be anything else than a tool, whose master is the human being. lt is essential to quickly organize a legal framework adapted to this new situation, which shall never develop providing all its benefits without being contained in its inevitable overflows, to preserve from tragical reef patients and the whole society.

Artificial intelligence is presented as a set of tools with which we can try to come to terms with human problems, and with the assistance of which, some human problems can be solved. Artificial intelligence is located in its social context, in terms of the environment within which it is developed, and the applications to which it is put. Drawing on social theory, there is consideration of the collaborative and social problem-solving processes which are involved in artificial intelligence and society. In a look ahead to the coming generations of highly parallel computing systems, it is suggested that lessons can be learnt from the highly parallel processes of human social problem-solving.

Abstract Current advances in academic research stem from two main sources: artificial intelligence technologies and the specific field of generative artificial intelligence. However, the ethical use of these technologies and their implications for academic integrity has not been sufficiently investigated. Therefore, this research examines the ethical use of artificial intelligence technologies and Generative Artificial Intelligence in academic research. It focuses on the current field conditions, detection of research trends, and critical gaps. The study uses a combination of bibliometric and thematic content analysis methods to examine the methodological framework of AI, GenAI, and academic integrity from an interdisciplinary perspective. The research reveals that GenAI integration speed has accelerated across all research stages, including academic writing, literature review, data analysis, and hypothesis development. The study also identifies risks such as biased algorithms, plagiarism risk, false information production, and potential damage to academic integrity. The research ethics approaches developed by academic institutions and journals have not reached maturity in the context of AI. Future research on GenAI within academic processes requires forming ethical principles integrated with oversight systems and policy frameworks.

Penelitian ini bertujuan untuk untuk mengatasi kesenjangan pengetahuan dan mendapatkan pemahaman yang lebih baik tentang implikasi ekonomi dan sosial dari Artificial Intelligence. Metode penelitian yang diterapkan pada penelitian ini adalah systematic literature review yang menggunakan 225 artikel ilmiah bersumber dari databse scopus. Review artikel menggunakan aplikasi Vosviewer. Hasil penelitian mengungkapkan Artificial Intelligence merupakan sistem perangkat lunak yang dirancang oleh manusia yang, untuk menafsirkan data yang dikumpulkan dan memutuskan tindakan terbaik yang harus diambil untuk mencapai tujuan. tiga hal yang mempengaruhi perusahaan dalam memanfaatkan Artificial Intelligence, Pertama, teknologi baru mengarah pada penggantian langsung pekerjaan. Kedua peningkatan ketrampilan pekerja dalam mengoprasikan Artificial Intelligence. Ketiga adalah efek produktivitas. Keterbatasan penelitian ini adalah artikel yang digunakan hanya bersumber dari database scopus sehingga temuan penelitian tidak dapat menggambarkan secara komprehensif tentang isu Artificial Intelligence dalam perekonomian di dunia. Penelitian berikutnya perlu menggunakan artikel ilmiah yang bersumber dari database internasional bereputasi lainnya, seperti Web of Science dan Dimensionds Scholars.

This article proposes five arguments about major aspects of artificial intelligence and their implications for international law. The aspects are: automation, personhood, weapons systems, control, and standardisation. The arguments in aggregate convey an idea of where international law needs to be adapted in order to cope with the artificial intelligence revolution under way. The arguments also show the inspiration that may be drawn from existing international law for the governance of artificial intelligence.

This paper investigated GP perception of artificial intelligence in relation to symptom checking, and specifically whether GPs view artificial intelligence as an opportunity or a threat. The authors advocate for a sustained collaboration between GPs and artificial intelligence as the way forward for patient and societal benefit. A collaborative approach requires broad-level adoption of artificial intelligence-enabled applications to complement rather than replace a GP's own expertise. Drawing on extant literature, this study investigated how measures of self-efficacy, being an individual's ability to believe in their own ability to organise and implement courses of action, influence the perception of artificial intelligence as an opportunity rather than as a threat. Prior work suggested that higher measures of self-efficacy would correlate with the view that artificial intelligence is an opportunity. In this work, 110 GPs from the UK were invited to be surveyed via a structured questionnaire about perceived self-efficacy and view of artificial intelligence. Of these, 26 GPs agreed to participate, giving a response rate of 24%. The results gave preliminary evidence that higher levels of perceived self-efficacy were associated with greater perceptions of artificial intelligence either as an opportunity or as a threat. This finding offers a new perspective for policy makers, leaders and academics, who are looking for predictors of artificial intelligence engagement. This work may form the basis for further research on the potential causal relationship between self-efficacy and AI adoption, which could ultimately help facilitate artificial intelligence adoption.

The paper is concerned with the visions and threats of Artificial Intelligence. It characterizes and describes those that, according to experts and scientists , will have a huge impact on the shape, nature and functioning of societies in the next two to three decades. Undoubtedly, one of the significant challenges is the development and application of deep learning. Scientific research in Artificial Intelligence will be accompanied by intensive development of computer vision, convolutional networks and virtual, augmented and mixed reality. In the future, everything digital will be able to fall prey to counterfeiters. The essence and functioning of related Deepfake tools are explained and described in the paper. The development of Artificial Intelligence will result in a wide and versatile application of Biometrics. The paper describes the prospective areas of its use and draws attention to the problems associated with the construction of the oversized databases necessary for this purpose. In the era of a society characteristic of the development of the fourth industrial revolution, theway and means of automobile transportation and the necessary infrastructure will be radically transformed - autonomous vehicles will appear. The paper describes all levels of reference relating to the scope of control of an autonomous vehicle. Effective use of Artificial Intelligence solutions will not be possible without computers with enormous computing power. Theemergence of quantum computers will certainly solve this problem. The essence of quantum computer functioning is described in the next chapter. Artificial Intelligence can successfully perform many tasks better than humans. This will make Artificial Intelligence take on a huge economic value. Positions will be lost for both physical and mental workers. The question then becomes, where are we? Which professions can take over Artificial Intelligence and which ones will not move? What is the future of work done by humans? These issues are addressed in Chapter 9. The prospect of widespread and comprehensive use of Artificial Intelligence solutions will raise the following question, with respect to both humans and society. Can Artificial Intelligence optimize our happiness? The answer to such a question is not an easy one. The paper attempts to answer it. In the age of Robotics and Artificial Intelligence, we will be accompanied by, revolutionary changes in the way humans of entire societies function. There will be an urgent need to define a neweconomic model. Issues clarifying the nature and importance of the essential components of the said model are addressed in this work. Solutions and use of Artificial Intelligence are often accompanied by various kinds of failures. These can have many causes. The paper describes and explains, proposed by Yampolsky Roman, a kind of dysfunction pattern. The results of scientific research andpractical experience that the list of Artificial Intelligence dangers is very extensive. A representative list of risks from Artificial, along with the characteristics of each of them, is presented in the last part of the paper.

Artificial intelligence, whether embodied as robots or Internet of Things, or disembodied as intelligent agents or decision‐support systems, can enrich the human experience. It will also fail and cause harms, including physical injury and financial loss as well as more subtle harms such as instantiating human bias or undermining individual dignity. These failures could have a disproportionate impact because strange, new, and unpredictable dangers may lead to public discomfort and rejection of artificial intelligence. Two possible approaches to mitigating these risks are the hard power of regulating artificial intelligence, to ensure it is safe, and the soft power of risk communication, which engages the public and builds trust. These approaches are complementary and both should be implemented as artificial intelligence becomes increasingly prevalent in daily life.

The article discusses the concept of “artificial intelligence”, its problems and prospects. Artificial intelligence is the property of artificial intelligent systems to perform creative functions that are traditionally considered the prerogative of humans. the science and technology of creating intelligent machines, especially intelligent computer programs. The article discusses the main characteristics of artificial intelligence. Features and examples of the implementation of artificial intelligence technologies in the modern foreign educational space are shown. The history of artificial intelligence as a new scientific direction begins in the middle of the 20th century. By this time, many prerequisites for its origin had already been formed: among philosophers there had long been debates about the nature of man and the processes of cognition of the world, neurophysiologists and psychologists developed a number of theories regarding the work of the human brain and thinking, economists and mathematicians asked questions about optimal calculations and the presentation of knowledge about the world in in a formalized form; finally, the foundation of the mathematical theory of computing - the theory of algorithms - was born and the first computers were created. The formation of modern computer technologies has created a large number of cases that are related to: • human speech, the ability to learn to recognize and synthesize it; • development of technical vision mechanisms that will be able to recognize people’s faces; • the ability to teach cars to drive independently without human intervention, etc. [1]. Such systems that demonstrate and follow human behavior are called artificial intelligence. The study of artificial intelligence is an important direction in modern science. Artificial intelligence is a technology that contains a set of tools that help a computer, based on the studied data, provide answers to questions, and also draw conclusions based on this. Today, AI is essential for a wide range of industries, including healthcare, retail, manufacturing, and even government. But there are ethical challenges with AI, and as always, these options need to be out of options to ensure AI doesn't do more harm than good. Here are some of the biggest ethical challenges of AI. Keywords: Artificial intelligence, computer, robot, thinking, awareness, personality, society, humanity, problems, prospects, future.