scholarly journals Merging Artificial Intelligence and Blockchain Technologies to Solve Academic Qualification Forgery Issues

2020 ◽  
Author(s):  
Manju Jose
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
Emerging Technologies ◽  
Integrated System ◽  
Future Research ◽  
Group Discussions ◽  
Academic Qualification ◽  
Negative Impacts ◽  
Economy And Education ◽  
Academic Qualifications

This paper emphasizes the possibility of merging artificial intelligence and Blockchain technologies to solve academic qualifications forgery issues in the educational sectors. Empirical data is collected through interviews with specialists and technical people who are interested in the emerging technologies of the Fourth Industrial Revolution and focus group discussions in the field, as well as from reports in the reviewed literary articles. Scientific journals have also been accessed to analyse the paper goals and objectives. The findings suggest that emerging technologies can be integrated to become more efficient and effective in detecting fraud and forgery before it occurs. Considerable attention should be given to reducing and combating these issues because they have significant negative impacts on the economy and education. Accordingly, the study makes recommendations based on the results and areas of future research, considering the establishment of a unified and integrated system. Initially it will be applied as a pilot in Sultanate of Oman, then gradually it will be extended to the Gulf Cooperation Council States (GCC) and internationally particularly the affiliated and the recognized educational institutions to avoid the phenomena that affects the reputation and quality of education institutions and academic qualifications. The conclusion considers the impacts of the proposed system in the education and economy as well in general.

scholarly journals Merging Artificial Intelligence & Blockchain Technologies to Solve Academic Qualification Forgery Issues

2020 ◽  
Author(s):  
Aisha Abdullah Ali Al Wahaibi ◽  
Manju Jose
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
Emerging Technologies ◽  
Group Discussion ◽  
Integrated System ◽  
Future Research ◽  
Academic Qualification ◽  
Negative Impacts ◽  
Economy And Education ◽  
Academic Qualifications

This paper emphasizes on the possibility of merging Artificial Intelligence and Blockchain technologies to solve academic qualifications forgery issues in the educational sectors. Empirical data is collected through interviews with many specialist and technical people who is interested in the emerging technologies of the Fourth Industrial Revolution and focused group discussion in the field, as well as from reports in the reviewed literary articles. Scientific journals have also been accessed to analyze the paper goals and objectives. The findings are based on the conclusion suggest that emerging technologies can be integrated to become more efficient and effective in detecting fraud and forgery before it occurs. Considerable attention should be given to reducing and combating these issues because they have significant negative impacts on the economy and education. Accordingly, the study makes recommendations based on the results and areas of future research, considering the establishment of a unified and integrated system. Initially will be applied as a pilot in Sultanate of Oman, then gradually will be extended to the Gulf Cooperation Council States (GCC) and internationally particularly the affiliated and the recognized educational institutions to avoid the phenomena that affect the reputation and quality of education institutions and academic qualifications. In the conclusion considering the impacts of the proposed system in the education and economy as well in general. This research aims to investigate academic forgery cases in the world and then focuses in Oman. Furthermore, it explores the possibilities of merging technologies (Artificial Intelligence and Blockchain) to contribute in eliminating fraud before it occurs. In addition, to propose a framework that will help to find solutions based on the suggested integrated technologies. Finally, it assess the probabilities of the proposed solutions performance and its impacts in the academic sector.

Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work and Future of Humanity

2019 ◽  
Vol 30 (1) ◽  
pp. 61-79 ◽  
Author(s):  
Weiyu Wang ◽  
Keng Siau
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Revolution ◽  
Future Research ◽  
Way Of Life ◽  
Negative Effects ◽  
Future Research Directions ◽  
Negative Impacts ◽  
The Impact ◽  
The Way

The exponential advancement in artificial intelligence (AI), machine learning, robotics, and automation are rapidly transforming industries and societies across the world. The way we work, the way we live, and the way we interact with others are expected to be transformed at a speed and scale beyond anything we have observed in human history. This new industrial revolution is expected, on one hand, to enhance and improve our lives and societies. On the other hand, it has the potential to cause major upheavals in our way of life and our societal norms. The window of opportunity to understand the impact of these technologies and to preempt their negative effects is closing rapidly. Humanity needs to be proactive, rather than reactive, in managing this new industrial revolution. This article looks at the promises, challenges, and future research directions of these transformative technologies. Not only are the technological aspects investigated, but behavioral, societal, policy, and governance issues are reviewed as well. This research contributes to the ongoing discussions and debates about AI, automation, machine learning, and robotics. It is hoped that this article will heighten awareness of the importance of understanding these disruptive technologies as a basis for formulating policies and regulations that can maximize the benefits of these advancements for humanity and, at the same time, curtail potential dangers and negative impacts.

scholarly journals The effect of implementing artificial intelligence on job performance in commercial banks of Jordan

2021 ◽  
pp. 2061-2070
Author(s):  
Abdallah Abusalma
Keyword(s):  
Artificial Intelligence ◽  
Job Performance ◽  
Random Sample ◽  
Commercial Banks ◽  
Banking Sector ◽  
Future Research ◽  
Years Of Experience ◽  
Academic Qualification ◽  
Descriptive Approach

This study aimed to clarify the effect of artificial intelligence with its variables (ES, NN, GA, and IA) on job performance. The banking sector in Jordan is used as a study community and targeted managers at all levels, and in order to achieve the objectives of the study, a questionnaire is developed for the purpose of collecting data from the random sample. The sample consisted of (319) managers. Also, the study used the descriptive approach and the data are analyzed on SPSS. The results showed that there is a statistically significant effect of artificial intelligence that affects job performance through (GA, and IA) only. In addition, the results showed that gender, academic qualification and years of experience have a statistically significant effect on job performance in commercial banks in Jordan. The study recommends preparing future research for the same variables and the study community, but for another country, in order to generalize the results.

scholarly journals AI Technologies and Motives for AI Adoption by Countries and Firms: A Systematic Literature Review

2021 ◽  
pp. 39-51
Author(s):  
Rene Kabalisa ◽  
Jörn Altmann
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Economic Impact ◽  
Systematic Literature Review ◽  
Emerging Technologies ◽  
Economic Impacts ◽  
Future Research ◽  
Digital Revolution ◽  
The Way

AbstractIn this era of digital revolution, artificial intelligence stands to be one of the emerging technologies to revolutionize the way we live, work, or communicate. While everyone is fighting to lead in this technology, their readiness differs and adoption challenges arise in many sectors. These competitions also result in various economic impacts on countries, firms, and individuals. This paper uses a systematic literature review to analyze the existing economic impact of AI adoption and the technology used. Overall, this paper presents clear evidence that AI adoption has a large effect on an economy. Findings of this research help researchers and practitioners to identify important economic impacts of adopting AI, identify directions for future research, and set policies that need to be put in place.

Role of Emerging Technologies in COVID 19: Analyses, Predictions, and Future Countermeasures (Preprint)

2020 ◽  
Author(s):  
Dr. Rekha G
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Language Processing ◽  
Emerging Technologies ◽  
Point Of Care ◽  
Cost Effective ◽  
Current Status ◽  
Future Research ◽  
Smart Healthcare

UNSTRUCTURED In the resent decade, emerging technologies like Artificial Intelligence, Blockchain Technology, Cloud Computing , Internet of Things (IoT), etc., have changed people life a lot (in terms of living). Artificial Intelligence (AI) has been applied widely in our daily lives in a variety of ways with numerous successful stories. AI has also contributed to dealing with the coronavirus disease (COVID-19) pandemic, which is currently happening around the globe.We touch on a number of areas where AI plays as an essential component, from medical image processing, data analytics, text mining and natural language processing, the Internet of Things, to computational biology and medicine. For this, a summary of COVID-19 related data sources that are available for research purposes (for future researchers) is also presented.For that, all the tools, resources and datasets needed to facilitate AI research are also been reviewed. Also discussed about Machine Learning use cases for Drug Formulations, Treatment of Patients Suffering with COVID-19, how Artificial Intelligence and internet of things can be useful to develop Cost- effective and Rapid Point-of-Care Diagnostics. For example, uses of Internet of Medical Things for Smart Healthcare (primary focus on detecting COVID-19 symptoms, and alerts for other users) have been discussed in this work. In summary, this work providesuseful information about (potential of) AI methods, machine learning, internet of things, used in many applications like Medicare, COVID-19 outbreak and summarizes several critical roles of Artificial Intelligence (including machine learning and internet of things) research in this unprecedented battle.We also discuss several future Research directions, global impact of corona on internet of things and many applications. It is envisaged that this work will provide AI, and ML researchers and the wider community an overview of the current status of AI and ML applications and motivate researchers in harnessing AI potentials in the fight against COVID-19.

scholarly journals Audit and tax in the context of emerging technologies: A retrospective analysis, current trends, and future opportunities

2021 ◽  
pp. 95-128
Author(s):  
Osama F. Atayah ◽  
◽  
Muneer M. Alshater ◽  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Content Analysis ◽  
Tax Evasion ◽  
Emerging Technologies ◽  
Future Research ◽  
Prolific Author ◽  
Future Research Agenda ◽  
Publication Number ◽  
The Usa

This study aims to review the existing literature on audit and tax in the context of emerging technologies, besides providing future research agenda. A meta literature approach by combining bibliometric and content analysis was adopted to analyze 154 relevant English articles published in Scopus indexed journals, published over the last 35 years. Using RStudio, VOSviewer, and Microsoft Excel. Quantitative findings reveal that the USA is the top contributor and the most cited in the world. Brigham Young University, on the institutional level, is the most relevant affiliation. Concerning publication number, the Journal of Emerging Technologies in Accounting is the most relevant source. At the same time, the most cited source is the Decision Sciences journal. While the most prolific author is Miklos Vasarhelyi. Moreover, the emerging technologies, including big data, blockchain, and artificial intelligence, have significantly drawn accounting scholars interest from 2015 and thereafter. From the perspective of qualitative findings, the main focus shows that employing advanced technologies offers promising opportunities to mitigate the risk of tax evasion and enhance the auditors' efficiency. The content analysis reports two mainstreams tax and audit; each one is classified into three sub-streams, big data, artificial intelligence, and blockchain. This study contributes to present a clear and coherent understanding of the relevant exact literature and propose future research. However, the study review confines only on audit and tax fields, relying on the Scopus database.

scholarly journals A Systematic Review for Service Humanoid Robotics Model in Hospitality

2020 ◽  
Author(s):  
Jiaji Yang ◽  
Esyin Chew
Keyword(s):  
Artificial Intelligence ◽  
Hospitality Industry ◽  
Industrial Revolution ◽  
Humanoid Robots ◽  
Future Research ◽  
Intelligent Robots ◽  
Model Combining ◽  
Phenomenological Studies ◽  
Technical Model ◽  
Research Ontology

AbstractNowadays, the Fourth Industrial Revolution has brought artificial intelligence to the forefront, and more and more intelligent robots begin to be used in the hospitality industry. In this study, the application of service humanoid robots in the hospitality industry is investigated based on Cardiff Metropolitan University EUREKA Robotics Lab’s robot as reported by Lab (in Eureka robotics lab, 2017, https://www.cardiffmet.ac.uk/technologies/Pages/EUREKA-Robotics-Lab.aspx). The research ontology of this study is post-positivism. The research philosophy of this research is phenomenology. Phenomenological studies have indicated that this phenomenon can only be truly understood and experienced through subjective immersive research directly involving researchers, and the interaction among researchers is an integral part of the research. In this study, the data are collated through case researches and experimental interviews. Finally, Some proposals for transforming the traditional hospitality industry into the direction of intelligence is summarized. In future research, a technical model combining artificial intelligence will be further developed.

scholarly journals The Rise of Artificial Intelligence under the Lens of Sustainability

Technologies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 100 ◽  
Author(s):  
Jayden Khakurel ◽  
Birgit Penzenstadler ◽  
Jari Porras ◽  
Antti Knutas ◽  
Wenlu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Language Processing ◽  
Vital Role ◽  
Future Research ◽  
Five Dimensions ◽  
Machine Learning Methods ◽  
Research Collaborations ◽  
Potential Benefits ◽  
Negative Impacts

Since the 1950s, artificial intelligence (AI) has been a recurring topic in research. However, this field has only recently gained significant momentum because of the advances in technology and algorithms, along with new AI techniques such as machine learning methods for structured data, modern deep learning, and natural language processing for unstructured data. Although companies are eager to join the fray of this new AI trend and take advantage of its potential benefits, it is unclear what implications AI will have on society now and in the long term. Using the five dimensions of sustainability to structure the analysis, we explore the impacts of AI on several domains. We find that there is a significant impact on all five dimensions, with positive and negative impacts, and that value, collaboration, sharing responsibilities; ethics will play a vital role in any future sustainable development of AI in society. Our exploration provides a foundation for in-depth discussions and future research collaborations.

IR 4.0. IN PARLIAMENT: CONCEPTUALISING THE APPLICATION OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN THE PARLIAMENT OF MALAYSIA’S PARLIAMENTARY QUESTIONS

2020 ◽  
Vol 5 (20) ◽  
pp. 124-137
Author(s):  
Muthanna Saari
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Revolution ◽  
Emerging Technologies ◽  
Participant Observation ◽  
Research Data ◽  
Human Values ◽  
Structured Interviews ◽  
Fourth Industrial Revolution ◽  
The Government

The Fourth Industrial Revolution (IR 4.0.) offers significant opportunities to humankind in revitalising human values through which the emerging technologies inevitably seam into daily societal life. Legislatures face ever-increasing challenges in fulfilling their duties in such a complicated society which subsequently entails complex legislations. Parliamentary questions (PQs) as one of the traditional tools utilised by parliamentarians provide a quintessential mechanism to achieve the oversight functions of parliament. However, there are still immense undiscovered potentials of PQs, yet many previous studies have not looked into the content of the questions and the consequences of the response to the conduct of governments. This paper set out to examine the usefulness of IR 4.0. namely, artificial intelligence (AI) and machine learning towards improving the efficiency, transparency, and accountability of parliament and the government. The research data of this exploratory and interpretative study is drawn from three main sources: literature studies, semi-structured interviews, and participant observation of the existing PQs processing in the Dewan Rakyat, Parliament of Malaysia. This study has found that generally, the approval of such technologies introduction to the parliamentary businesses is contingent upon its ability to capture complex considerations in the existing environment.

scholarly journals CONCEPTUAL FRAMEWORK FOR UNDERSTANDING EMERGING TECHNOLOGIES THAT SHAPE THE ACCOUNTING AND ASSURANCE PROFESSION OF THE FUTURE

2020 ◽  
Author(s):  
Atanasko Atanasovski ◽  
Zorica Bozinovska Lazarevska ◽  
Marina Trpeska
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Conceptual Framework ◽  
Information Needs ◽  
Business Processes ◽  
Industrial Revolution ◽  
Emerging Technologies ◽  
Current Accounting ◽  
Assurance Services

We are currently on the verge of the fourth industrial revolution (industry 4.0) that will fundamentally change the way in which businesses and individuals operate. It is characterized by the integration of both physical and virtual world with a new pulse for greater automation and autonomy of business processes without or limited need of human intervention. Cloud computing, the internet of things, big data and data analytics, artificial intelligence and machine learning, blockchain, augmented reality are among the most exploited contributing technologies. This paper provides a conceptual framework for emerging technologies with greatest disruptive potential for the accounting and assurance profession. We have surveyed the scarce literature with the aim of investigating the relationship and interplay between most potent emerging technologies and accounting and assurance services. Our findings suggest that cloud accounting, big data, blockchain, artificial intelligence and machine learning will most likely shape the accounting and assurance world for many organisations and future skills set pursued by professionals in order to add value. We conclude that current accounting research efforts are insufficient to understand and grasp the possible future interactions between the vibrant digital economy, its emerging technologies and the accounting profession, including the changing information needs of investors.

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