Artificial Intelligence Perspective Research Articles

“Facilitators” vs “substitutes”: the influence of artificial intelligence products’ image on consumer evaluation

PurposeThe rapid innovation of artificial intelligence (AI) technology promotes the prosperity of the AI product market. However, consumers seem to have negative attitudes (e.g. prejudice, aversion) toward AI products and services. Those negative attitudes are rooted in the fear that AI might replace humans. The authors thus propose that turning the image of AI from substitutes to facilitators can alleviate identity threat perception. This paper aims to examine how the image of AI products (facilitators vs substitutes) influences consumer evaluation and explores the underlying mechanism and boundary conditions.Design/methodology/approachThis study uses four experiments with between-subjects designs to investigate whether the image of AI products (facilitators vs substitutes) will affect consumer evaluation in specific consumption and service scenarios. The same products (or services) were manipulated as “substitute” or “facilitator” through advertisement slogans. Participants were randomly assigned to a condition and read the advertisement, then they reported their evaluation. The mediator perceived identity threat and the moderator preconceived perceptions of AI risks were measured by scales. The moderator, self-affirmation, was manipulated through the instruction of the experiment.FindingsThis study demonstrates that consumers give higher evaluation of AI products in the image of the facilitator than in the image of the substitute (Study 1). The underlying mechanism is that the perceived identity threat caused by “facilitator” products is lower than “substitute” products (Study 2). The effect of AI image is moderated by consumers’ preconceived perceptions of AI risks (Study 3) and self-affirmation (Study 4). Specifically, for consumers who have a strong AI risk-perception, this effect exists, but it disappears for consumers who have a weak AI risk perception. When consumers are given a strong self-affirmation, the negative impact of the “substitute” image disappears.Originality/valueThis paper analyzes the psychological root of consumers’ negative evaluation of AI technology from the perspective of AI’s image. The proposed typology of “substitutes” and “facilitators” helps expand the vision on brand/product image and enriches the research on consumer self-identity in today’s highly informatized market. The findings shed light on how to choose appropriate image for AI products, which will be crucial for increasing consumers’ acceptance of AI products.

Applications and Perspectives of Artificial Intelligence, Machine Learning and "Dentronics" in Dentistry: A Literature Review.

The aim of this study was to describe artificial intelligence, machine learning, and "Dentronics" applications and perspectives in dentistry. A literature review was carried out to identify the applications of artificial intelligence in the field of dentistry. A specialized search for information was carried out in three databases such as Scopus, PubMed, and Web of Science. Manuscripts published from January 1988 to November 2021 were analyzed. Articles were included without any restriction by language or country. Scopus, PubMed, and Web of Science were found to have 215, 1023, and 98 registered manuscripts, respectively. Duplicates (191 manuscripts) were eliminated. Finally, 4 letters, 12 editorials, 5 books, 1 erratum, 54 conference papers, 3 conference reviews, and 222 reviews were excluded. Artificial intelligence has revolutionized prediction, diagnosis, and therapeutic management in modern dentistry. Finally, artificial intelligence is a potential complement to managing future data in this area.

Evaluation method of singing pronunciation quality based on artificial intelligence technology

Since people have limited ability to judge the quality of their own singing and pronunciation, it is difficult to find problems on their own after reaching a certain level, so they need external help. However, external help also comes from human beings in the past and has many limitations. Therefore, in order to provide better help, this paper will carry out research from the perspective of artificial intelligence. In this paper, the basic concepts of artificial intelligence technology are discussed, and then the evaluation ideas of singing pronunciation quality on the technical level are put forward. Finally, the method system is designed.

Educational Reform Exploration of Engineering Mathematics from the Perspective of Artificial Intelligence

Educational Reform Exploration of Engineering Mathematics from the Perspective of Artificial Intelligence

Analysis on the Innovative Development of University Education and Teaching Management from the Perspective of Artificial Intelligence

Analysis on the Innovative Development of University Education and Teaching Management from the Perspective of Artificial Intelligence

Exploring the Problems of Applying Intelligent Media in Chinese Journalism Based on the Perspective of Artificial Intelligence

With the rapid development of science and technology, artificial intelligence has gradually entered the field of people’s lives, and human society has entered the era of intelligence. Among them, the application of artificial intelligence in the field of news communication is also becoming more and more extensive. Intelligent media technology can help news media acquire information, analyze data, generate content, and improve the efficiency and quality of news dissemination more quickly and accurately. Traditional news gathering requires manual browsing of a large number of information sources to filter out valuable information. Artificial intelligence technology can quickly extract useful content from a large amount of information through natural language processing, machine learning, and other technologies, providing more comprehensive and accurate information to the news media. At the same time, the emergence of artificial intelligence also brings some disadvantages to the news industry, for example, machine news writing is limited by technical rules, which affects the existence of its limitations. This paper will therefore discuss three aspects of the changes brought about by AI in the media industry - the structure of communication, communication technology, and communication philosophy - as well as the ethical and legal issues involved in AI in the media industry. Firstly, the researcher aims to understand the problems in the application of AI in the field of journalism and communication. Secondly, the research theory used in this article is the diffusion of innovation theory. Developed by Rogers in the 1960s, this theory states that some people will be more open-minded and more willing to accept innovations than others when it comes to innovation. Again, the research method used in this article is a qualitative research method of web-based text analysis. Ultimately, the researcher identified three problems: the content of the research was superficial, the emergence of smart media broke the traditional media compliance under ethical laws, and the inadequate mechanism for nurturing talent. Based on these problems, the researcher proposed solutions, which were to conduct an in-depth analysis of the application of artificial intelligence in the communication industry, to develop laws and regulations that comply with the application of intelligent media in the communication field, and to train high-end talents who can use artificial intelligence.

Exploration and Research on Employment Guidance System in Universities from the Perspective of Artificial Intelligence

Exploration and Research on Employment Guidance System in Universities from the Perspective of Artificial Intelligence

A Futuristic View of the Secretarial Profession from an Artificial Intelligence Perspective

The first revolution in the 18th century saw the harnessing of water and steam power, exploitation of electricity took place in the second revolution and the exploitation of computer science technology in the third revolution. The fourth and fascinating revolution has started with the advent of new technologies like Artificial Intelligence (AI), Machine Learning and Robot Process Automation (RPA). The above disruptive technologies significantly disrupt the role of a company secretary. A day is not far when Artificial Intelligence is also sitting in the boardroom along with other human Directors. New technology will increasingly change the way the companies work and also the work as a company secretary and governance professional. Technological innovation leads to new corporate governance challenges in terms of ethics, fairness and transparency. The changes need to be embraced with boards and stakeholders suitably advised.

A Review of Alzheimer’s Disease and Inflammation: Pathogenesis, Inflammatory Processes, and Novel Insights from the Artificial Intelligence Perspective

Alzheimer’s disease is a progressive neurodegenerative disease which is characterised by the increased deposition and spread of extracellular β-amyloid plaques and intracellular hyperphospho-rylated tau as neurofibrillary tangles. This is thought to be driven by the sustained activation of brain microglia and astrocytes. In this review, we will provide an overview of the current understanding of the pathogenesis of Alzheimer’s disease, the role of inflammation and associated factors in disease progression as well as current treatments including those in late-stage clinical trials. We will also discuss how machine learning has been previously used to create Alzheimer’s disease risk metrics and the potential for blood-based inflammatory factors to be used to create an artificial intelligence-based Alzheimer’s disease early warning system. The development of an Alzheimer’s disease-based early warning system would enable the improved use of existing and future disease-modifying agents and thereby help to slow or halt disease progression.

Review and Analysis of Patients’ Body Language From an Artificial Intelligence Perspective

Review and Analysis of Patients’ Body Language From an Artificial Intelligence Perspective

Motor Fault Diagnostics Based on Current Signatures: A Review

Electric motors act as the backbone of industrial development. Their reliable and safe operation is essential to various industries. At present, motor fault diagnosis based on current signatures has progressively gained favour thanks to their non-invasive nature. This review summarizes recent advances in motor current signature analysis for fault diagnosis. First, motor diagnostic background and requirements are expounded, as well as the benefits of current signature analysis. Then, the mechanism and influence of common faults for the most widely used induction motor and permanent magnet synchronous motor are analyzed, and the detection criteria for typical motor defects, such as bearing fault, stator windings inter turn short circuit, and broken rotor bar, are summarized. Next, the motor diagnosis techniques based on current signature analysis are summarized from the technical perspectives of spectrum analysis, demodulation transformation, time-frequency analysis, parameter estimation, artificial intelligence, and etc. Pros and cons of each technology are also provided. Finally, according to the challenges faced by the existing technologies in engineering, future research is suggested to focus on influence analysis of electromechanical coupling on current signal, feature extraction for incipient fault, non-stationary signal analysis, unlabeled data utilization and fault severity assessment.

AI APPLICATIONS IN BLOCKCHAIN TECHNOLOGY

Blockchain technology is one of the most important and hot topics because of the last bull run in 2021 and the dramatic increase of knowledge in this sphere. Many famous hedge funds and big companies are investing in the cryptocurrency sphere to diversify their portfolio, and mostly all the CEOs of technological giants (e.g. Google, Tesla, Twitter, etc.) consider blockchain as a “future of financial systems”. This sphere covers not only the finance sector but also any direction where centralized authorities participate. With appropriate consensus mechanisms created and in case they are proven to work from both efficiency and security aspects, any type of central-ized service may become decentralized empowering people to have more control on tools that they are using. Despite its power of usage; we can also consider blockchain goals and tasks from Artificial intelligence (AI) perspective. Blockchains are a great source of high-quality data, which we can use to solve various complex and exciting problems. Due to the huge amount of data that AI models provide, there is a need for data scientists and techniques to analyze data fast, and effectively and build pipelines to extract newly generated data from the blockchain. This article will provide a possi-ble set of problems AI tries to solve, and our study case, where its usage would be helpful.

ChatGPT: More than a “Weapon of Mass Deception” Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective

ChatGPT: More than a “Weapon of Mass Deception” Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective

Research perspective of artificial intelligence and HRM: a bibliometric study

Research perspective of artificial intelligence and HRM: a bibliometric study

Exploring Artificial Intelligence and Robotics in Indian Education: Potential for Teacher Substitution?

This research paper explores the potential of Artificial Intelligence (AI) and Robotics in Indian education, in terms of their ability to substitute teachers. Ethnography was conducted by observing the teaching styles of traditional teachers and the functions of the AI and robotics within the classroom. Additionally, 16 teachers from different schools in India were interviewed in order to gain insights from the traditional teacher perspective, and 8 AI and robotics experts were interviewed in order to gain insights from the AI and robotics perspective. The results revealed that AI and Robotics in Indian education can help reduce the workload ofteachers,butcannot replacethemcompletely.The increaseduse ofAIandRobotics in Indian classrooms can help teachers focus on more complex tasks and allow them to use their skills more effectively. It is important to note, however, that AI and Robotics in Indian classrooms should be used to supplement the teachers’ efforts rather than to replace them. The research also highlighted the need for further research, especially on the ethical implications of substituting teachers with AI and Robotics. The findings of this research can helppolicymakers, educators, andresearchers make informed decisions about the use ofAI and Robotics in Indian education for the bettermentof students andteachers alike.

Tensions and conflicts in indigenous African cultural heritage at South African universities: An artificial intelligence perspective

Tensions and conflicts in indigenous African cultural heritage at South African universities: An artificial intelligence perspective

The Impact of Artificial Intelligence (AI) on the Low-Carbon Economy: A Prospective Study on the Long-Term Rental Housing Market in Guangxi, China

In recent years, the tourism economy of Guangxi Zhuang Autonomous Region (hereinafter referred to as “Guangxi”), China, has been caught in the contradiction between infrastructure construction and natural environmental protection. By combing Guangxi’s tourism economy with its development path of smart long-term rental housing, this paper finds that the long-term rental market in Guangxi based on artificial intelligence (AI) technology can solve the development contradiction through accurate construction planning to improve efficiency. The long-term rental housing market in Guangxi has entered a low-carbon economy period since pilot programs were launched for the policy of managing public rental housing with AI and information technologies. From the perspective of AI, facts have proved that AI has the ability to re-adjust the competition order of an industry, which not only realizes the low-carbon development of the rental market, but also promotes the industrial upgrading of the tourist industry.

Automated Economic Welfare for Everyone? Examining Barriers to Adopting Robo-Advisors from the Perspective of Explainable Artificial Intelligence

Robo-advisors (RAs) support economic decisions for customers using artificial intelligence (AI). RAs are gaining increasing significance but lack market penetration. A significant issue is the perceived low transparency of such AI systems. This study examines the public’s demands on RAs with text-mining methods from the perspective of explainable artificial intelligence (XAI). The results reveal understandability and trustworthiness issues for each of the RA use phases (configuration, matching, and maintenance). In particular, five barriers emerge in RA if information needs remain unanswered: entry barrier, assessment barrier, evaluation barrier, continuation barrier and withdrawal barrier. The barriers can be mitigated by combining explanation, design and communication measures. The results are discussed regarding theoretical implications and practical recommendations for facilitating the adoption of RAs. JEL: D8 (D81, D83, D89), G1 (G11), G2 (G20, G23), G4 (G41), I2 (I24, I25), O3 (O31, O33)

Small And Medium-Sized Enterprises’ Status in The Perspectives of Internationalization, Globalization and Artificial Intelligence

This paper analyses and presents the transition of SMEs in global prospects, taking into account the processes, impact and influence of internalization, globalization and artificial intelligence. The research was done by examining how SMEs’ Internalization and Globalization could have such an impact on their integration into the international market, economic growth, international environment, and how internationalization is important for them.

Artificial intelligence in lung cancer: current applications and perspectives.

Artificial intelligence (AI) has been a very active research topic over the last years and thoracic imaging has particularly benefited from the development of AI and in particular deep learning. We have now entered a phase of adopting AI into clinical practice. The objective of this article was to review the current applications and perspectives of AI in thoracic oncology. For pulmonary nodule detection, computer-aided detection (CADe) tools have been commercially available since the early 2000s. The more recent rise of deep learning and the availability of large annotated lung nodule datasets have allowed the development of new CADe tools with fewer false-positive results per examination. Classical machine learning and deep-learning methods were also used for pulmonary nodule segmentation allowing nodule volumetry and pulmonary nodule characterization. For pulmonary nodule characterization, radiomics and deep-learning approaches were used. Data from the National Lung Cancer Screening Trial (NLST) allowed the development of several computer-aided diagnostic (CADx) tools for diagnosing lung cancer on chest computed tomography. Finally, AI has been used as a means to perform virtual biopsies and to predict response to treatment or survival. Thus, many detection, characterization and stratification tools have been proposed, some of which are commercially available.