Artificial Intelligence for Blockchain I

The research paper aims to study The Rise of Artificial Intelligence: A Boon or a Bane under Legal Regime. It will examine how the Artificial Intelligence (AI) in the real world refers in various domains and across various fields to boost innovation with transformative technology. The jurisprudential aspect highlights the philosophy of law concerning Artificial Intelligence along with its fundamental principles and moral values. It will analyse AI as a catalyst for progressing in today’s current era which symbolises the capacity of human intellect with AI through development in the modern day. AI as a positive footprint in the society understands the interaction of humans and AI. It will also examine the AI as a loss of human touch and its values where there is a gap between emotional connection between AI and human. The growing privacy challenges with regard to breach of personal data is a threat to human world. It will analyse the ethical and legal concerns of AI systems with lack of privacy and data protection. The growing dependence of AI poses challenges in security concerns. It will understand the AI in legal profession while providing legal services. It contrasts AI with major countries like The United States, The United Kingdom and The European Union as a comparative analysis. It will examine that how AI is truly a boon or a bane.

With the continuous development of science and technology, artificial intelligence has become one of the core drivers of the development in the current era. Against the background of deepening internationalization and opening-up, higher vocational colleges should focus on promoting “artificial intelligence + innovation and entrepreneurship education”, make use of international transaction resources, learn from the excellent teaching experience of developed countries, promote the transformation of achievements in cultivating students’ innovation and entrepreneurship capabilities, and alleviate the employment difficulties of higher vocational students. Based on this, this paper studies the application strategies of “artificial intelligence + innovation and entrepreneurship education” in the international field, expounds the relationship between artificial intelligence and innovation and entrepreneurship education, analyzes the existing problems, and puts forward corresponding application strategies, aiming to promote the sound development of “artificial intelligence + innovation and entrepreneurship education” and cultivate innovative and entrepreneurial talents needed by the times.

The development of health service technology in the current era is swift. This development is both an opportunity and a threat to health technology in Indonesia. Artificial Intelligence is an exciting thing in this era (Digital Health Era) because it displays and provides convenience in digitalization. This research article aims to determine the attitudes of health workers regarding their intentions towards using AI in the world of work and to describe the attitudes of health workers towards AI. The health workers who were the sample for this study were health workers at hospitals in North Sulawesi. The method used in this research is quantitative description and qualitative with interviews. Cross-sectional data collection was done using questionnaires and interviews. This research shows that attitude (behavior/GAAIS) has a 53% influences intention to use (Intention to Use) AI. Health workers expressed quite positive views about the existence of AI, having high hopes that it could be used to make daily work easier. However, an important thing concerns them: AI cannot replace health workers regarding patient service because it does not have the human side, such as empathy, feelings, and direct service (touch). This research is expected to complement the literature on the development of AI technology, improve and enrich readers regarding AI and the world of health, and make the world of health and health workers more advanced and better, especially in digitalizing health

The objective of this research is to investigate how artificial intelligence (AI) might improve HR procedures and increase employee engagement and productivity in organizations. AI-powered tools and applications used in the current era become a decisive point for businesses and its performance may impact employees’ job engagement and job performance. The use of artificial intelligence in an organization’s activities to manage human resources in the areas of employee engagement, job security, employee performance, particularly in the process of lowering staff workload, and enhancing business performance. The study involved full-time employees with experience using artificial intelligence powered software in Indian multinational corporation. The research data was collected from 310 employees from multinational cooperation. The findings demonstrate that artificial intelligence performance had a significant impact on employee’s performance and job engagement, both of which were highly correlated with performance at work evaluation. AI has a positive impact on employee engagement and company performance. Artificial intelligence and job performance were significantly related with job engagement and service performance. Additionally, job security had a significant impact on increasing employees’ job engagement and service quality. The study’s implication support strategies for conducting performance research and managing human resources. The present study results will help business owners or managers create a productive atmosphere that boosts overall performance and employee engagement at the workplace using artificial intelligence.

This chapter emphasizes the importance of artificial intelligence (AI) tools, analysis about the existing AI tools, and recommendations for future AI tools for women's safety. AI is experiencing significant growth and influence in the current era. Several key trends and developments highlight the role of AI in various domains: AI is being used for medical diagnosis, drug discovery, and patient care. Machine learning models are helping doctors analyse medical images, predict disease outcomes, and personalize treatment plans. Self-driving cars and drones are utilizing AI algorithms for navigation, obstacle detection, and decision-making. These technologies are advancing transportation and logistics. Natural language processing models like GPT-3 are transforming language-related tasks, from chatbots and virtual assistants to content generation, translation, and sentiment analysis. This chapter highlights the AI tools that exist for women's safety in the digital world and future apps needs for the same.

Like all other fields, healthcare is also fully blessed with Artificial Intelligence (AI) in current era. From managing records and other data, AI has impacted various facets of COVID-19 epidemic in addition to post COVID-19 crisis in positive way. During the scary period of COVID-19, AI has emerged out as blessing for all the patients, healthcare professionals and even for whole world as it aided in rapid diagnosis, treatment, paradoxically in the post COVID-19 crisis too. The AI has emoted a very noteworthy part in early detection of COVID, prediction of morbidity and mortality as well as detection of deterioration of patients in emergency. In nutshell, the current review is an assemblage of the role of AI in COVID-19 along with post COVID-19 in all ways from forecasting of COVID cases to the burial facility in case of any mortality.

In the current years, artificial intelligence is bringing a great revolution in different fields, especially in the field of medicine and healthcare. It is witnessing and gaining much importance which looked to be impossible few years ago. AI is like a boon to medical field and it is becoming increasingly important for doctors, radiologists, nurses and other healthcare professionals as well. The healthcare has become a basic need for humans in this current era and also became a big business today. The promise of AI in the field of medicine is to improve decision making and also to rectify errors such as misdiagnosis and unnecessary long procedures involved in healthcare systems. The various technologies like Internet of Things (IoT), cloud computing, edge computing, Artificial intelligence, big data analysis that are developed and are under process of development in the context of healthcare. The healthcare industry provides a huge amount of health data of patients where in machine learning algorithms could use this data for early detection of problems. The patients, doctors and the hospitals are looking forward for better health monitoring and management systems within stipulated amount of time and better efficiency. This paper briefs about various latest developments and technologies involved in healthcare and disease prediction systems using artificial intelligence carried out in recent years.

This study examines the relationship between artificial intelligence also it's checking the integration with other technologies. This research aims to explore the complementary relationship between artificial intelligence (AI) and big data analytics, analyzing how each can benefit from the other to enhance the accuracy of analyses, decision-making, and the extraction of broadly applicable insights. The research relied on a descriptive methodology through a review of previous literature and practical applications in sectors such as healthcare, finance, e-commerce, and smart cities. The current era is witnessing a massive surge in the volume of data generated from various sources, posing a significant challenge in extracting valuable insights from it. This research explores how artificial intelligence technologies, such as deep learning and machine learning, can be integrated with big data analytics systems to address these challenges. This study seeks to improve data processing efficiency, increase the accuracy of predictive models, and enable intelligent, real-time decision-making. Through a systematic analysis of the latest literature, the research highlights the anticipated benefits of this integration and discusses the associated technical, legal, and ethical challenges, such as privacy, transparency, and energy consumption

Multicriteria evaluation (MCE) is a well-tried and effective procedure for structuring and aiding complex decisionmaking processes, especially those involving environmental considerations. Formal deliberative processes have also been successful in aiding understanding and meeting consensus in complex and difficult decision problems which involve more than one decisionmaker. Here, both approaches are combined in a new technique called ‘deliberative multicriteria evaluation’ to assist a group of natural resource managers to decide on a suitable option for recreation and tourism activities in the upper Goulburn–Broken Catchment of Victoria, Australia. This approach is an attempt to combine the advantages of MCE, providing structure and integration in complex decision problems, with the advantages of deliberation and stakeholder interaction provided by a ‘citizens' jury’. An important outcome of the process was the discovery of some crucial aspects of the decision problem that required deeper understanding and assessment if that preferred strategy were to have the desired results. Some suggestions for improving the process are provided but, in general, the stakeholder jury was regarded as a helpful and useful procedure by the decisionmakers and one which aided them in their understanding of the issues of a complex decisionmaking problem.

Never has it been more urgent for educators to be aware of the perils of research in education using digital searches in today’s world of disinformation, misinformation, artificial intelligence and censorship. As a result, we are more reliant on strong researchers than ever before. In the discipline of Education, students are often asked to research issues pertaining to curricula, pedagogy, educational information and theories. Pupils are using Internet and digital library searches to gain knowledge within public and private K-12 schools and within higher education. In this article, an Educational Librarian and an Education Professor outline their approach to educating all Faculty of Education students about using digital platforms in relation to unmasking fake news, artificial intelligence (AI) usage, and increasing Internet censorship. Using case study research, we examined 34 Bachelor of Education students in training at the high school level who created environmental digital art projects. Information/media literacy was taught in order to provide students with the necessary tools to identify credible, diverse, well-informed, strong, and robust research. In addition, they needed to be able to discern when artificial intelligence was utilized. Outlined are students’ projects. Our findings include “top ten” practical suggestions for educators at all levels when teaching students about effective researching in our current digital era.

The intersection of Artificial Intelligence (AI) and educational leadership has garnered significant attention in recent years due to advancements in knowledge technology and digital literacy. Despite growing interest from scholars and policymakers over the past decade, a comprehensive review of AI in the context of educational leadership and policy is still lacking. This study addresses this gap by systematically analyzing 168 peer-reviewed papers published between 2000 and 2024 through bibliometric analysis. It then conducts a thematic analysis of the top 20 highly cited papers to focus on key challenges and opportunities identified in applying AI from the perspectives of educational leadership and management. The results reveal major trends, geographic distributions, topical focuses, core concepts, themes, and their interconnections, as well as their implications from the viewpoints of educational leadership and management. The study highlights strategies and potential for integrating AI into educational leadership roles in the current era. Additionally, this study discusses the implications, limitations, and future research directions based on the reviewed studies.

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.

The field of artificial intelligence (AI) is currently experiencing a period of extensive growth in a wide variety of fields, medicine not being the exception. The base of AI is mathematics and computer science, and the current fame of AI in industry and research stands on 3 pillars: big data, high performance computing infrastructure, and algorithms. In the current digital era, increased storage capabilities and data collection systems, lead to a massive influx of data for AI algorithm. The size and quality of data are 2 major factors influencing performance of AI applications. However, it is highly dependent on the type of task at hand and algorithm chosen to perform this task. AI may potentially automate several tedious tasks in radiology, particularly in cardiothoracic imaging, by pre-readings for the detection of abnormalities, accurate quantifications, for example, oncologic volume lesion tracking and cardiac volume and image optimization. Although AI-based applications offer great opportunity to improve radiology workflow, several challenges need to be addressed starting from image standardization, sophisticated algorithm development, and large-scale evaluation. Integration of AI into the clinical workflow also needs to address legal barriers related to security and protection of patient-sensitive data and liability before AI will reach its full potential in cardiothoracic imaging.

In the current technological era, artificial intelligence (AI), particularly through chatbots, can be leveraged to support the advancement of foreign language learning. AI chatbots provide an interactive, personalized, and engaging learning experience, thereby enhancing student motivation. This study aims to explore the experiences of Indonesian university students in using AI for language learning, with a specific focus on Mandarin. A qualitative phenomenological approach was employed to examine students’ experiences with AI-assisted Mandarin language learning. Data were collected through a questionnaire distributed to 50 Generation Z participants aged 18–25 who were studying Mandarin. Thematic analysis was applied to identify the factors motivating participants to use AI in Mandarin learning, as well as the types of AI chatbots they utilized. The findings reveal that ChatGPT was the most frequently used tool for learning Mandarin, followed by QuillBot, CapCut, and Perplexity AI in descending order. Meanwhile, Google Bard and Character.ai were used by an equal number of respondents. The primary factor driving students to adopt AI chatbots was their ability to provide rapid and comprehensive responses. The second most influential factor was the ease of learning a foreign language facilitated by AI chatbots, while the third most cited reason was the need for translation. Interestingly, grammar and vocabulary acquisition were not among the primary motivations for using AI chatbots. For future research, it is recommended to increase the number of participants and categorize them based on educational level and the specific foreign language being studied to allow for more nuanced analysis.

The use of technology in the learning process in the 21st century is highly necessary to meet the demands of this era. Learning activities are designed with project-based learning utilizing Artificial Intelligence (AI), which has become a tool to assist individuals in their learning process. Engaging in learning activities through AI-based projects helps students to collaboratively tackle tasks, utilizing the intelligence assistance embedded within AI. This study is qualitative in nature, employing a literature review method, drawing insights from various sources such as books, articles, and others. The research findings indicate the crucial role of AI-based technological learning in the learning process, especially in the current 21st-century era, where precise utilization of technology is demanded. This implies that utilizing AI in learning activities significantly aids in the development of critical and creative thinking skills in students, which are essential components in individuals in the present 21st-century context. Moreover, it is crucial to ensure AI is utilized thoughtfully to avoid generating biased outcomes. Ultimately, these findings can have a beneficial impact on the nation by fostering competent citizens, as a result of habitual use of AI intertwined with critical and creative thinking.