Applications and Challenges of Artificial Intelligence in International Trade and Logistics: Current Status, Future Developments, and Policy Recommendations

We are glad to introduce you that the 2021 3rd International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2021) was successfully held on September 10-12, 2021. In light of worldwide travel restriction and the impact of COVID-19, ICAITA 2021 was carried out in the form of virtual conference to avoid personnel gatherings. Because most participants were still highly enthusiastic about participating in this conference, we chose to carry out ICAITA 2021 via online platform according to the original schedule instead of postponing it.ICAITA 2021 is to bring together innovative academics and industrial experts in the field of Artificial Intelligence Technologies and Applications to a common forum. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence Technologies and Applications and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence Technologies and Applications and related areas.This scientific event brings together more than 100 national and international researchers in artificial intelligence technologies and applications. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.We were pleased to invite three distinguished experts to present their insightful speeches. Our first keynote speaker, Prof. Yau Kok Lim, from Sunway University, Malaysia. His research interests include Applied artificial intelligence, 5G networks, Cognitiveradio networks, Routing and clustering, Trust and reputation, Intelligent transportation system. And then we had Prof. Peter Sincak, from Technical University of Kosice, Slovakia. His research includes Artificial Intelligence and Intelligent Systems. Lastly, we were glad to invite Chinthaka Premachandra, from Shibaura Institute of Technology, Sri Lanka. His research interests include Artificial Intelligence, image processing and robotics. In the last part of the conference, all participants were invited to join in a WeChat group to discuss and explore the academic issues after the presentations. The online discussion was lasted for about 30-60 minutes. The first two parts were conducted via online collaboration tool, Zoom, while the online discussion was carried out through instant communication tool, WeChat. The online platform enabled all participants to join this grand academic event from their own home.We are glad to share with you that we still received lots of submissions from the conference during this special period. Hence, we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: Artificial Intelligence Applications & Technologies, Computing and the Mind, Foundations of Artificial Intelligence and other related topics. All the papers have been through rigorous review and process to meet the requirements of international publication standard.Lastly, we would like to express our sincere gratitude to the Chairman, the distinguished keynote speakers, as well as all the participants. We also want to thank the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from the proceedings. We are expecting more and more experts and scholars from all over the world to join this international event next year.The Committee of ICAITA 2021List of titles Committee member, General Conference Chair, Technical Program Committee Chair, Academic Committee Chair, Technical Program Committee Member, Academic Committee Member are available in this Pdf.

Artificial Intelligence (Hereinafter, AI) technology has attraction in recent years. AI technology is a combination of the software technology represented by “Deep Learning” and the hardware technology represented by “GPU”. GPU stands for Graphic Processing Unit. And the GPU has the function of performing parallel processing at high speed like a human brain. The current AI system is established by the evolution of “GPU” and “Deep Learning”. Deep learning is often taken up, but the current AI technology can't be explained without GPU evolution. Current AI technology is established with balance between software and hardware technologies. As is well known, high performance AI technology is applied in the field of driving of automobiles and security system. On the other hand, utilization of AI in the cosmetic field has been delayed. Because the current AI still can't analyze human emotions and feelings. “Beauty” has to analyze human instinctive area, which is very difficult. In the area of “Beauty”, virtual make-up is realized by image processing. Or it is used for analysis of skin color and so on. For example, take a photo of skin color by the smart-phone and customize the foundation that matches skin color. In this way, AI is beginning to be used gradually even in the cosmetics field. In this paper, we will give an opinion on the application of AI to cosmetics.

Artificial intelligence technology in environmental research and health: Development and prospects.

Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI technology can be subdivided into many technologies such as machine learning and deep learning. The application scope and prospect of different technologies are also totally different. Currently, AI technologies play a pivotal role in the highly complex and wide-ranging medical field, such as medical image recognition, biotechnology, auxiliary diagnosis, drug research and development, and nutrition. Colorectal cancer (CRC) is a common gastrointestinal cancer that has a high mortality, posing a serious threat to human health. Many CRCs are caused by the malignant transformation of colorectal polyps. Therefore, early diagnosis and treatment are crucial to CRC prognosis. The methods of diagnosing CRC are divided into imaging diagnosis, endoscopy, and pathology diagnosis. Treatment methods are divided into endoscopic treatment, surgical treatment, and drug treatment. AI technology is in the weak era and does not have communication capabilities. Therefore, the current AI technology is mainly used for image recognition and auxiliary analysis without in-depth communication with patients. This article reviews the application of AI in the diagnosis, treatment, and prognosis of CRC and provides the prospects for the broader application of AI in CRC.

With the rapid advancement of artificial intelligence (AI) technology, its application in the fields of sports and health promotion has become increasingly widespread, bringing revolutionary changes to areas such as sports training, performance analysis, health monitoring, and management. The application of AI not only enhances the efficiency of research and practice but also provides new possibilities for personalized services and precise interventions. This study aims to explore the impact of the AI era on sports and health promotion, analyzing its current applications and future development trends in these fields. Method: Literature Review: Systematically collect, organize, and analyze relevant literature to understand the current applications, development trends, and existing challenges of AI in sports and health promotion. Case Analysis: Select typical cases for in-depth analysis to explore the effectiveness and challenges of AI technology in specific sports training and health management applications. Empirical Research: Collect and analyze real-world data to validate the effectiveness and impact of AI technology in sports and health promotion. AI technology has achieved significant results in areas such as sports performance analysis, personalized training program development, and injury prevention and rehabilitation. technology assists in health data monitoring and analysis, disease prediction and prevention, and personalized health management by enabling real-time collection and analysis of users' physiological data. The use of AI technology has also raised a series of ethical issues, primarily concerning data privacy and security, algorithmic bias and fairness, and human-machine interaction and accountability. Multimodal data integration and intelligent analysis will become mainstream, allowing AI systems to provide more comprehensive and accurate analysis and predictions. The integration of virtual reality (VR) and augmented reality (AR) technologies with AI will become a core component of future health management. In the field of sports, AI technology demonstrates significant potential in areas such as performance analysis, personalized training, and injury prevention. In health promotion, AI-driven health monitoring, disease prediction, and personalized management are transforming traditional health management models. However, the application of these technologies also brings ethical challenges related to data privacy, algorithmic bias, and accountability, which require collective efforts to address.

The 2019 International Conference on Artificial Intelligence Technologies and Applications (ICAITA 2019) was held in Qingdao, China, from 5 to 7 July 2019. The conference report reflects the current interests of international and Chinese research circles, such as artificial intelligence applications, artificial neural networks, natural computing, parallel processing, pattern recognition, programming languages and data mining. The 2019 International Conference on Artificial Intelligence Technology and Applications is a multidisciplinary conference that brings together students, young researchers, postdoctoral and experienced researchers working in different research fields to promote the gathering and sharing of interests and to achieve results so as to achieve better cooperationThe Conference work was carried out in 3 sections:● Artificial Neural Networks and Intelligent Application Technology● Scientific Computing and Novel Computing Models● Communications applications and Power Electronic EquipmentCommittee memberList of Conference Chairs, Technical Program Committee, Conference Secretary are available in the pdf.

This chapter investigates the transformative role of Artificial Intelligence (AI) applications in diverse domains, specifically focusing on healthcare, agriculture, defence and medicine. The integration of AI technologies in these sectors has led to significant advancements, improving efficiency, decision-making, and outcomes. AI applications in healthcare range from diagnostic tools and predictive analytics to personalized treatment plans. This chapter explores how AI aids in early disease detection, medical imaging analysis, drug discovery, and patient care optimization. Real cases illustrate the successful implementation of AI-driven solutions, showcasing improved diagnostic accuracy and enhanced patient outcomes. In agriculture, AI technologies contribute to precision farming, crop monitoring and yield prediction. The chapter delves into how AI-driven solutions analyse data from various sources, such as satellite imagery and IoT devices, to optimize resource allocation, pest control, and crop management. Real cases demonstrate increased agricultural productivity and sustainability through the application of AI. AI plays a crucial role in modern defence systems, including surveillance, threat detection, and decision support. This chapter examines how AI enhances military operations, cybersecurity, and strategic planning. Real cases highlight instances where AI technologies have bolstered national security by improving threat identification and response capabilities. The field of medicine benefits extensively from AI applications, ranging from patient care to administrative tasks. Real cases showcase instances where AI-driven technologies have accelerated drug discovery, streamlined healthcare workflows, and personalized patient treatment plans. This chapter provides a comprehensive overview of the impact of AI applications in healthcare, agriculture, defence and medicine. By exploring real cases, it underscores the tangible benefits and transformative potential of AI technologies across these diverse domains. The insights presented in this analysis contribute to a deeper understanding of the evolving landscape shaped by the integration of AI in critical sectors, paving the way for further innovations and advancements. The chapter outlines key aspects of AI applications in each domain and highlights real-world cases demonstrating their impact. This chapter explores how AI facilitates medical research, automates administrative processes, and supports clinical decision-making.

Introduction: In todays rapidly changing technology, artificial intelligence (AI) is changing the way we live, work and create art at an unprecedented speed. As an important part of human culture, dance art has also ushered in new development opportunities and challenges in this scientific and technological revolution. Objectives: This paper aims to explore the innovative application and influence of artificial intelligence (AI) in dance creation and performance. With the rapid development of AI technology, its application is increasingly wide in the field of art, and dance art is no exception Methods: This paper first outlines the application of AI technology in dance creation, including the generation of new dance movements through algorithms, auxiliary choreography, etc. These applications provide unprecedented creative sources and tools for dance creators. Then, this paper analyzes the role of AI in dance performance, such as the accurate movement performance of dance robot, the immersive experience of virtual reality technology in dance performance, etc. Results: These technologies not only enrich the form of dance performance, but also broaden the viewing experience of the audience. In addition, this paper also discusses the application of AI in dance teaching, such as intelligent guidance system, distance dance teaching, etc., which bring convenience and personalization to dance teaching. However, the application of AI in the field of dance also faces technical challenges and art ethical issues, which need further research and discussion. Conclusions: In conclusion, this paper believes that the application of AI technology in dance creation, performance and teaching has broad prospects, but it also needs to pay attention to its potential impact and challenges to promote the harmonious coexistence of dance art and AI technology. The research of this paper provides new perspectives and thoughts in the field of dance art, Provides a reference for future research and practice.

This systematic review aims to synthesize the current knowledge about the applications and challenges of Artificial Intelligence (AI) technologies in healthcare, while evaluating the extent to which the European Union (EU) AI Act and the European Health Data Space (EHDS) contribute to ensuring responsible, secure, and ethically sound adoption of AI in clinical practice. This review adheres to the guidelines set by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and has also been registered in PROSPERO. The PubMed®, Web of Science™, Scopus and ScienceDirect® databases were used as scientific search strategy. In addition, records identified through other sources (grey literature) were also assessed for eligibility and included. All studies published between 2020 and 2024 about the application of AI and its regulation and ethical implications, particularly in healthcare, were included. Eligible studies were assessed for potential risk of bias during data extraction and quality evaluation screening. A total of 76 studies were included. Although AI technologies have several applications in the healthcare sector such as disease diagnosis, treatment, clinical data management, automated surgery, remote health monitoring, elderly patient care and/ or biomedical research, important ethical issues are raised when using AI, namely data privacy, safety, lack of transparency, explainability, trust and potential biases. A proper application and compliance with established ethical principles, and legal regulations such as the EU AI Act and the EHDS are fundamental to ensure a responsible, safe, sustainable and trustworthy use of AI in healthcare.

Artificial intelligence (AI) technology is deeply changing our lives and provides impetus for improving production and living efficiency as an important emerging tool. Digitalization and intelligent development have also become the development direction of the sports industry, bringing new requirements to the transformation of physical education (PE) and the improvement of the quality of PE teachers. PE is an important part of the public health system, and AI can deeply participate in the formulation of teaching strategies, the tracking of teaching processes and the evaluation of teaching results, effectively improving the quality of teaching. Research on the application of AI technology in PE has been carried out. This paper comprehensively reviews the existing research and conducts a comprehensive analysis of the research progress and status. The potential application areas of AI in PE are discussed to better promote the intelligent and digital upgrading of PE. We found that the research on the application of AI in PE is still in its early stages, and the research content needs to be strengthened in terms of breadth and depth. Furthermore, this paper analyzes the challenges faced by PE teacher development and training in the context of educational transformation in the era of AI, and explores the necessary skills and knowledge related to AI technology that future PE teachers should master in order to effectively achieve the improvement of teaching level and the sustainable development of public health system. The review of this paper provides valuable guidance for educators and policymakers to formulate high-quality teacher development and training mechanisms, and provides a new reference for the application and development of AI in sports.

Purpose This study aims to extend the classic perceived organizational support (POS)–turnover intention (TI) relationship in the context of the application of artificial intelligence (AI) technology in contemporary hotels. Design/methodology/approach This study adopted an explanatory sequential design. Stage 1 – Quantitative Methodology. A total of 554 valid questionnaires with the random sampling technique were collected with the help of the China Hotel Association. This study combined SPSS and SmartPLS software to verify hypotheses. Stage 2 – Qualitative Methodology. This section obtained a sample size of 24 interviewees with the objective sampling technique. The researchers transcribed all interview materials into text and used NVivo version 14 to explain the results of hypothesis testing. Findings This study shows that POS significantly impacts employee TI in contemporary hotels with AI applications, and both the perceived value and threat of AI play partial mediating roles between the two. Research limitations/implications The results are conducive to providing practical enlightenment for the contemporary hotel industry with AI applications. Practical implications In contemporary hotels where AI technology is widely used, this study provides practical guidance for hotel managers, employees and AI technology developers from the dual perspectives of value and threat, aiming to minimize the TI among hotel employees caused by AI technology. Originality/value To the best of the authors’ knowledge, this study is the initial attempt to design a dual mediation model with the perceived AI for the POS–TI relationship.

To review the application and research progress of artificial intelligence (AI) technology in trauma treatment. The recent research literature on the application of AI and related technologies in trauma treatment was reviewed and summarized in terms of prehospital assistance, in-hospital emergency care, and post-traumatic stress disorder risk regression prediction, meanwhile, the development trend of AI technology in trauma treatment were outlooked. The AI technology can rapidly analyze and manage large amount of clinical data to help doctors identify patients' situation of trauma and predict the risk of possible complications more accurately. The application of AI technology in surgical assistance and robotic operations can achieve precise surgical plan and treatment, reduce surgical risks, and shorten the operation time, so as to improve the efficiency and long-term effectiveness of the trauma treatment. There is a promising future for the application of AI technology in the trauma treatment. However, it is still in the stage of exploration and development, and there are many difficulties of historical data bias, application condition limitations, as well as ethical and moral issues need to be solved.

With the continuous development of artificial intelligence (AI) technology, AI technology has been widely used in many industry fields, also in the field of education, while the application of AI in the field of education also faces many challenges. This paper gives the in-depth analysis of the impact of AI technology in the field of education in order to promote the in-depth application of it in the field of education.

Medical audit refers to the process of systematically reviewing patients’ medical records, billing data, and other data according to cost and quality standards. This study reviewed the applicability, opportunities, and challenges of artificial intelligence (AI) technology in the field of medical audit. Medical audits ensure that insurers provide quality healthcare services and that prevent inadequate expenditures; however, it is a complex and time-consuming task. AI Technology can greatly improve this process. Specifically, AI can reduce claims errors for health care providers, automate the audit process, or support the decision-making of the reviewer, thereby reducing the time and cost required for medical audit. Furthermore, AI technology can detect patterns or anomalies that humans may overlook, facilitating the early identification of potential issues. This enables AI to improve the operational efficiency and accuracy of medical audits, and ultimately contributing to the enhancement of services provided to patients. Nevertheless, technical and ethical challenges such as data quality, fairness, and transparency persist. To address these challenges, close collaboration among the medical community, technical experts, and policymakers is essential. Additionally, empirical research on actual application cases of AI and their outcomes is necessary.

With the continuous development of science and technology, exploration in the field of life sciences has become increasingly profound, encompassing the understanding of human beings themselves and the exploration of disease etiology and treatment methods.Artificial intelligence is defined as the intelligence exhibited by artificially created systems. The application of artificial intelligence is quite extensive and can replace humans in various aspects of work, significantly enhancing efficiency in daily life and work. Artificial intelligence has a dual nature, as it could provide convenience to human society but could also bring about various adverse effects.This paper summarizes the current applications of artificial intelligence in the field of life sciences. By analyzing the applications of artificial intelligence in areas such as gene editing, drug development, and bioinformatics, it demonstrates the potential of artificial intelligence in the field of life sciences. At the same time, this paper also points out the ethical, technical, social, and various challenges that the application of artificial intelligence technology in the field of life sciences faces, with the aim of providing reference for research in related fields.