Exploring the Transformative Potential of Artificial Intelligence in Hospitality: A Systematic Review of Applications and Challenges

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.

Assessing perspectives on artificial intelligence applications to gastroenterology

With the rapid development of modern information electronic technology, artificial intelligence information technology has gradually penetrated into all fields of human society. This paper aims to improve the clinical assistant nurses’ correct understanding of medical artificial intelligence, and to provide an important reference for further promoting the wide application and development of clinical artificial machine intelligence in the field of clinical nursing in China. In this paper, through the comparison of intelligent nursing and traditional nursing effect monitoring, as well as the analysis of medical staff and patients’ satisfaction with artificial intelligence treatment time, treatment effect and treatment scheme, and the results were discussed and analyzed. The problems that should be paid attention to in the application of artificial intelligence in clinical nursing were put forward, which provided guarantee for the development of clinical nursing. The research in this paper has important practical significance for the further development of the two.KeywordsIn the information ageArtificial intelligenceClinical nursingSmart devices

The application of generative artificial intelligence (AI) technology in the healthcare sector can significantly enhance the efficiency of China’s healthcare services. However, risks persist in terms of accuracy, transparency, data privacy, ethics, and bias. These risks are manifested in three key areas: first, the potential erosion of human agency; second, issues of fairness and justice; and third, questions of liability and responsibility. This study reviews and analyzes the legal and regulatory frameworks established in China for the application of generative AI in healthcare, as well as relevant academic literature. Our research findings indicate that while China is actively constructing an ethical and legal governance framework in this field, the regulatory system remains inadequate and faces numerous challenges. These challenges include lagging regulatory rules; an unclear legal status of AI in laws such as the Civil Code; immature standards and regulatory schemes for medical AI training data; and the lack of a coordinated regulatory mechanism among different government departments. In response, this study attempts to establish a governance framework for generative AI in the medical field in China from both legal and ethical perspectives, yielding relevant research findings. Given the latest developments in generative AI in China, it is necessary to address the challenges of its application in the medical field from both ethical and legal perspectives. This includes enhancing algorithm transparency, standardizing medical data management, and promoting AI legislation. As AI technology continues to evolve, more diverse technical models will emerge in the future. This study also proposes that to address potential risks associated with medical AI, efforts should be made to establish a global AI ethics review committee to promote the formation of internationally unified ethical and legal review mechanisms.

Introduction. Integration into the modern European educational environment brings a series of changes and modernization in approaches to the educational process, professional activities, and the need for digital solutions in everyday life. At the same time, the application and impact of artificial intelligence (AI) in the educational, scientific, and healthcare remain controversial. Aim. To highlight the results of the analysis of readiness and experience in the application of artificial intelligence in medical education in Ukraine. Materials and methods. To accomplish the tasks set, the following theoretical and empirical research methods were used: bibliosemantic method, system analysis method, conversations and interviews with participants in the educational process, analysis of readiness and experience in the application of artificial intelligence in medical education in Ukraine, surveying (464 respondents participated in the survey: 439 higher education students and 25 students of professional pre-higher education from Bogomolets National Medical University). Results. We conducted a questionnaire on the use of AI by medical education students. The results of the survey showed widespread use of AI, and the respondents was indicated by the positive effect of its use. We also summarized the functions and capabilities of AI that respondents would like to have in educational applications and grouped them into five categories. We conducted a thorough analysis of the Digital Competency Frameworks to determine readiness for AI applications in various industries, including the healthcare. Conclusions. The analysis key Frameworks shows that AI is an important tool that can be applied in various fields of activity and also create a foundation for integrating AI into education and healthcare. AI is a crucial element of Ukraine’s digital transformation and has significant potential for application in healthcare. The development of AI requires a comprehensive approach, including regulation, education, and professional training.

Applications of artificial intelligence (AI) bear great transformative potential in the economic, technological and social sectors, impacting especially future work environments. Ethical regulation of AI requires a relational understanding of the technology by relevant stakeholder groups such as researchers, developers, politicians, civil servants, affected workers or other users applying AI in their work processes. The purpose of this paper is to support relational AI discourse for an improved ethical framing and regulation of the technology. The argumentation emphasizes a widespread reembodied understanding of AI technology as critical requirement for capable ethical and regulatory frameworks. A sociotechnical perspective encourages the material interpretation of AI as reembodied adaptation of biological intelligence. Reviewing Cartesian dualism as motivating the disembodiment of human intelligence for its transfer to machines, the argumentation develops an integrated embodiment concept of AI in its mechanistic, naturalistic, combined AI and neuroethical, and relational contexts. This concept is discussed in relation to basic phenomenological and postphenomenological assumptions, and is applied to the example of AI-based neurotechnology potentially disrupting future work processes. Strengthening a human-centered approach, the presented concept for a reembodied understanding of AI technology enables better integrated ethical and regulatory debates, and improves social discourse and human agency in developing and regulating AI technology.

Outline for a German Strategy for Artificial Intelligence

The purpose of this study is to explore how artificial intelligence (AI) and big data can be used to solve the twin issues of athlete safety and sports event quality in a college sports environment. Furthermore, this study attempts to fill the literature vacuum regarding the application and effectiveness of artificial intelligence and big data in improving safety and quality in collegiate sports administration by investigating possible synergies between these elements and the implementation of developed technologies. This qualitative study used a sampling method to conduct in-depth interviews with 18 sports administrators and commentators. Using coding and classification methods, the data were evaluated thematically with a focus on artificial intelligence and big data applications. Research has found that artificial intelligence and big data play a key role in proactively reducing injuries, optimizing athlete performance and enabling data-driven decision-making. It also identifies barriers and opportunities for integrating these technologies, revealing their dynamic potential. This study provides new perspectives on the relationship between safety and quality and the application of artificial intelligence and big data in collegiate sports management. It also highlights the ways in which these technologies have transformative potential in sport. The findings have important implications for educational programs and policy development aimed at managing responsible technology integration and preparing future professionals in the field of sport management.

PurposeThis study reviews existing research and current applications of artificial intelligence (AI) in the hospitality and tourism industry. It further proposes a new evaluation framework to inform the susceptibility of AI adoptions.Design/methodology/approachThis is a synthesis and evaluation study that qualitatively summarizes and presents findings on AI applications in the hospitality and tourism industry. Current AI applications are rated using a seven-dimensional framework based on Rogers' (2003) diffusion theory.FindingsAI adoption susceptibility in the hospitality and tourism industry varies based on the type of AI. Search/booking engines, virtual agents and chatbots rank high in the adoption susceptibility.Research limitations/implicationsThis study bridges innovation diffusion theoretical underpinnings and AI applications. The findings support researchers, developers and managers in evaluating the adoption susceptibility of AI technologies in the hospitality and tourism industry.Originality/valueThis paper is among the few that focus on assessing AI adoption susceptibility in the hospitality and tourism industry. This paper develops a theory-based framework for systematically evaluating AI innovations in hospitality and tourism.

A note on the applications of artificial intelligence in the hospitality industry: preliminary results of a survey

Application of artificial intelligence: benefits and limitations for human potential and labor-intensive economy – an empirical investigation into pandemic ridden Indian industry

In this chapter, we discuss the impact of artificial intelligence (AI) and machine learning (ML) application on Finance with the principal focus on the banking sector, how AI affects customers, maintains the customer relationship, influence the business performance and finally how the AI will change future of banking sector. AI is one of the front digital transformation strategies which can spread in the area of finance today. The use of this AI can improve core banking operations and tailor services which in turn will deliver over $250 billion in value across the industry (According to the McKinsey Global Institute). The banking sector of India as a financial service have recognized the potential and prospects of AI and ML and therefore it is being applied in almost all activities of banking operations. Analysts and experts estimate that AI will save roughly $1 trillion of the banking industry by 2030 [3]. According to Narrative Science, 32% of the participating banks in their 2018 report are already incorporating predictive analytics, recommendation engines, voice recognition and response times in their processes. ML is just a subset of AI which helps banks in bringing several benefits through analyzing mounds of financial data. Nowadays the traditional banking business is undergoing an exciting period of disruption, and at the same time it is evident from the 21st century that the worldwide banking sector is becoming digitalized as the trend spreads across the globe. Due to enormous changes with customer preferences, all industries now, including the banking sector, are adopting innovative methods to match the pace with changing demand and AI, ML and robotics are few among them. AI and ML impacts are clearly manifested in many areas of banking sector like credit scoring, creditworthiness, personal assistance, market research, fraud detection and asset management etc. AI is rapidly reshaping the business landscape of the financial industry including the banking industry. Banks should implement the AI technology in order to become more relevant and competitive, to provide personalized experience to customers, to improve and enhance the profit margin and to survive in the market amongst cutthroat competition. With the numerous available relevant technologies, application of AI and have deeply penetrated the banking sector and it is not only modernizing but also transforming this sector into a new horizon. Through the use of AI and ML the banks are leveraging the benefits of reduction in human error, strengthening customer base, reducing fraud, enhancing security and defence through utilizing knowledge data base and also controlling risk through minimizing credit score of customers. Nowadays, operation of banks is becoming more methodical and AI and ML have metamorphose every aspect of banking sector and has made its process faster. There are so many digital platforms used under AI and ML which are helpful to the banks for doing their business and operation smoothly. Some of them are handy while handling customer service, detection of fraud, creation of facial bio metrics and others are generous for computing the credit score and handling the customer queries. Few of these techniques used by the banks especially under AI are KASISTO (KAI), PEPPER, HooYu, DATAVISOR. PLAID and ZESTFINANCE etc. which prove to be, crucial for the banking sector for their glossy performance. So, it can be concluded form the study that in the banking sector the application and adoption of AI and ML enhances efficiency, increases profitability, serve customers more efficiently, offers data insights and manages risk of banks. AI and ML is proved to be the poised agitator for the banking industry. It is estimated by the experts that AI will bring huge gain to the banking industries which could be realized over the coming decades.

Artificial intelligence, as a technological product of the era of big data, has broad development space in promoting rapid analysis of complex image data, assisting in the screening, diagnosis and follow-up of related diseases, greatly shortening the diagnosis time of diseases. It is a powerful tool for achieving efficient use of limited medical resources, especially for extending to primary care. This article reviews the current application of Artificial intelligence in otolaryngology and related fields. Based on China's early development in this field, there is no clinical research based on large samples. It needs further support from relevant laws, regulations and ethics. Artificial intelligence, as the most representative application technology in the future medical health fields, deserves our full expectation. Key words: Artificial Intelligence; machine learning; Otolaryngology

Response to M. Trengove & coll regarding "Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine".

Technological progress, especially in the field of information, has led to reducing the gap between science, information and knowledge. This accelerating change has forced all educational institutions to comply with this new mission by using information technology in the teaching process, as artificial intelligence has become an integral part of the educational and learning process, and a means of Effective in the teaching process, in addition to being research tools in obtaining information and knowledge, the research problem focused on (what are the attitudes of the kindergarten teacher towards using artificial intelligence applications in the effective teaching process in the early education stage in the third Rusafa Education Directorate?), where the importance of The research is considered one of the researches that deals with an important and vital topic (artificial intelligence), as it gains its importance in that it represents the role that kindergarten teachers play in the early education stage in developing the skills and abilities and refining the information of the child through their use of artificial intelligence methods and applications, as well as The positive role of such research in stimulating kindergarten teachers’ motivation to benefit from artificial intelligence applications, which increases the efficiency and effectiveness of their teaching. The aim of the research is to reveal kindergarten teachers’ attitudes towards using artificial intelligence in the effective teaching process in the early education stage, as well as to reveal the most important The challenges facing kindergarten teachers using artificial intelligence in the effective teaching process, and are there any statistically significant differences between the average kindergarten teacher’s attitudes to using artificial intelligence in the effective teaching process in the early education stage according to the research variables? The research reached several conclusions, perhaps the most important of which is the existence of differences. There is statistical significance between the average kindergarten teacher’s attitudes to using artificial intelligence in the effective teaching process in the early education stage according to the research variables. The research recommends holding many workshops and training courses for kindergarten teachers on how to use artificial intelligence in effective teaching, and including programs and rehabilitation plans for kindergarten teachers. About the use of artificial intelligence according to the plans of the Ministry of Education, which are consistent with its vision, and encouraging teachers to proceed and benefit from applications and websites for safe and available artificial intelligence applications in the teaching process