A review of Artificial Intelligence Emerging technologies and challenges in Block Chain Technology

2019 ◽  
Author(s):  
Mamata Rath
Keyword(s):  
Artificial Intelligence ◽  
Emerging Technologies ◽  
Block Chain

scholarly journals Artificial Intelligence, Smart Contract and Islamic Finance

2018 ◽  
Vol 14 (2) ◽  
pp. 145 ◽  
Author(s):  
Siti Rohaya Mat Rahim ◽  
Zam Zuriyati Mohamad ◽  
Juliana Abu Bakar ◽  
Farhana Hanim Mohsin ◽  
Norhayati Md Isa
Keyword(s):  
Artificial Intelligence ◽  
Computer Code ◽  
Islamic Finance ◽  
Human Intelligence ◽  
Human Beings ◽  
Finance Industry ◽  
Smart Contract ◽  
Huge Impact ◽  
Block Chain

This study examines the two important aspect of latest technology issues in Islamic finance that related to artificial intelligence (AI) and smart contract. AI refers to the ability of machines to understand, think, and learn in a similar way to human beings, indicating the possibility of using computers to simulate human intelligence. Smart contract is a computer code running on top of a block-chain containing a set of rules under which the parties to that smart contract agree to interact with each other. The main objectives of this article are to evaluate the operations of AI and smart contract, to make comparison between the operations of AI and smart contract. This article concludes that AI and smart contract will have a huge impact in future for Islamic Finance industry.

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 New risks related to emerging technologies and reputation for corporate governance

2020 ◽  
Vol 9 (2) ◽  
pp. 64-74
Author(s):  
Hugh Grove ◽  
Mac Clouse ◽  
Tracy Xu
Keyword(s):  
Artificial Intelligence ◽  
Corporate Governance ◽  
Boards Of Directors ◽  
Emerging Technologies ◽  
Research Question ◽  
World Intellectual Property Organization ◽  
Global Marketplace ◽  
Challenges And Opportunities ◽  
Potential Risks ◽  
Management Issues

Artificial intelligence (AI) has moved from theory into the global marketplace. The United Nations World Intellectual Property Organization released the first report of its Technology Trends series on January 31, 2019. It considered more than 340,000 AI-related patent applications over the last 70 years. 50 percent of all AI patents have been published in just the last five years. The challenges, potential risks, and opportunities for business and corporate governance from emerging technologies, especially artificial intelligence, have been summarized as whereby machines and software can analyze, optimize, prophesize, customize, digitize and automate just about any job in every industry. Boards of directors and executives need to recognize and understand the new risks associated with these emerging technologies and related reputational risks. The major research question of this paper is how boards of directors and executives can deal with both risk challenges and opportunities to strengthen corporate governance. Accordingly, the following sections of this paper discuss key risk management issues: deep shift risks, global risks, digital risks and opportunities, AI initiatives risks, business risks from millennials, business reputational risks, and conclusions.

Opportunities and Challenges of Adopting Artificial Intelligence for Learning and Teaching in Higher Education

2021 ◽  
pp. 67-78
Author(s):  
Aniekan Essien ◽  
Godwin Chukwukelu ◽  
Victor Essien
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Emerging Technologies ◽  
Higher Education Institutions ◽  
Practical Applications ◽  
Learning And Teaching ◽  
Teaching In Higher Education

This chapter provides a sense of what artificial intelligence is, its benefits, and integration to higher education. Seeing through the lens of the literature, this chapter will also explore the emergence of artificial intelligence and its attendant use for learning and teaching in higher education institutions. It begins with an overview of artificial intelligence and proceeds to discuss practical applications of emerging technologies and artificial intelligence on the manner in which students learn as well as how higher education institutions teach and develop. The chapter concludes with a discussion on the challenges of artificial intelligence on higher education.

scholarly journals Emerging Technologies Based on Artificial Intelligence to Assess the Quality and Consumer Preference of Beverages

Beverages ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 62 ◽  
Author(s):  
Claudia Gonzalez Viejo ◽  
Damir D. Torrico ◽  
Frank R. Dunshea ◽  
Sigfredo Fuentes
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Food Industry ◽  
Emerging Technologies ◽  
Low Cost ◽  
Consumer Preference ◽  
Beverage Industry ◽  
Wide Range ◽  
Alcoholic Drinks ◽  
Different Levels

Beverages is a broad and important category within the food industry, which is comprised of a wide range of sub-categories and types of drinks with different levels of complexity for their manufacturing and quality assessment. Traditional methods to evaluate the quality traits of beverages consist of tedious, time-consuming, and costly techniques, which do not allow researchers to procure results in real-time. Therefore, there is a need to test and implement emerging technologies in order to automate and facilitate those analyses within this industry. This paper aimed to present the most recent publications and trends regarding the use of low-cost, reliable, and accurate, remote or non-contact techniques using robotics, machine learning, computer vision, biometrics and the application of artificial intelligence, as well as to identify the research gaps within the beverage industry. It was found that there is a wide opportunity in the development and use of robotics and biometrics for all types of beverages, but especially for hot and non-alcoholic drinks. Furthermore, there is a lack of knowledge and clarity within the industry, and research about the concepts of artificial intelligence and machine learning, as well as that concerning the correct design and interpretation of modeling related to the lack of inclusion of relevant data, additional to presenting over- or under-fitted models.

scholarly journals Accountability for Governance Choices in Artificial Intelligence: Afterword to Eyal Benvenisti’s Foreword

2018 ◽  
Vol 29 (4) ◽  
pp. 1079-1085 ◽  
Author(s):  
Lorna McGregor
Keyword(s):  
Artificial Intelligence ◽  
Human Rights ◽  
Global Governance ◽  
Emerging Technologies ◽  
National Level ◽  
Critical Part ◽  
Growing Body ◽  
Explicit Recognition ◽  
Governance Choices

Abstract A growing body of literature examines how to make the use of new and emerging technologies more transparent and explainable as a means to ensure accountability for harm to human rights. While a critical part of accountability, a predominant focus on the technology can result in the design and adaptation of accountability principles to ‘manage’ the technology instead of starting from an assessment of the governance choices actors make when integrating new and emerging technologies into their mandates. Recognition of the governance choices underpinning the introduction of new and emerging technologies is often overlooked in scholarship and practice. Yet, without explicit recognition of the role played by technology in governance, the disruptive effects of technology on (global) governance may be underplayed or even ignored. In this response, I argue that if the ‘culture of accountability’ is to adapt to the challenges posed by new and emerging technologies, the focus cannot only be technology-led. It must also be interrogative of the governance choices that are made within organizations, particularly those vested with public functions at the international and national level.

Emerging Technologies in Supply Management

2020 ◽  
Author(s):  
Andrea M. Prud’homme ◽  
John V. Gray ◽  
Andrew C. Barley
Keyword(s):  
Artificial Intelligence ◽  
Emerging Technologies ◽  
Supply Management ◽  
Process Automation ◽  
Robotic Process Automation ◽  
Management Processes ◽  
Virtual And Augmented Reality ◽  
Advanced Analytics ◽  
Speed And Accuracy ◽  
Positive Results

This chapter looks at emerging technologies and their use in supply management processes as a means to improve effectiveness through improved speed and accuracy, at a reduced cost. Many technologies are finding their way into supply management, with differing levels of penetration and application and with mixed results. It may be challenging for supply management professionals to understand how, when, and where these technologies are likely to yield positive results. This chapter reviews several technologies, including artificial intelligence/machine learning, big data/advanced analytics, blockchain, cloud computing, conversational things (e.g., chatbots), immersive technologies (e.g., virtual and augmented reality), and robotic process automation. Findings indicate that the primary advantages are achieved by improving current processes and workflows, rather than that these technologies are currently disrupting or will fundamentally change supply management. Another important finding is the importance of “clean data” inputs, something that artificial intelligence can help with and that is foundational for successful robotic process automation.

Sign in / Sign up

Export Citation Format

Share Document