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.

A Study in Distant Reading: Genre and the Longue Durée in the Age of AI

2020 ◽  
Vol 81 (4) ◽  
pp. 491-525
Author(s):  
Lauren M. E. Goodlad
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Revolution ◽  
Reading First ◽  
Crime Fiction ◽  
Distant Reading ◽  
Sherlock Holmes ◽  
Fourth Industrial Revolution ◽  
Longue Duree ◽  
Machine Reading

Abstract This essay explores “distant reading,” first, as a project of studying genre at supratextual scales of analysis (from early conceptions to computationalist successors) and, second, through the prescient late Victorian literary persona with which the latter practices intersect. A Study in Scarlet, the novella that introduced Sherlock Holmes, offers the first meditation on distant reading. A split double plot that anticipates generic fissures within crime fiction broadly conceived, A Study in Scarlet creates a data-centric detective intelligence in dialogue with late Victorian statistical innovations that remain central to machine learning and artificial intelligence (AI) today. Doyle’s generically split novella shows that the charismatic detective who dominates its first part is the merely partial virtuoso of a limited form. As such, A Study in Scarlet invites us to contemplate and clarify the humanistic stakes of machine “reading” during what some AI commentators conceive as a fourth industrial revolution.

Potentially Relevant Digital Technologies

2018 ◽  
pp. 21-41
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industrial Revolution ◽  
Learning Experience ◽  
Digital Technologies ◽  
Main Section ◽  
Fourth Industrial Revolution ◽  
Practical Reality ◽  
Self Driving Cars ◽  
Or Applications

In this chapter, Smith and Pourdehnad discuss two digital technologies, Artificial Intelligence (AI) and Crowdsourcing, that are not considered fundamental to current applications of the Fourth Industrial Revolution. These authors believe that these technologies are well worth consideration for some industries or applications as explained in this chapter. AI has become a practical reality in recent years through new tangible innovations such as the advent of self-driving cars, and some very human-like robots, and also as a result of improved machine learning experience. As familiarity with machine learning has grown, so have AI applications. AI is discussed in the first section together with Machine Learning; Crowdsourcing is discussed at length in the second main section.

scholarly journals Future Service in Industry 5.0

2019 ◽  
Vol 2 (1) ◽  
pp. 67-79 ◽  
Author(s):  
Umar Al Faruqi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Human Life ◽  
Rapid Development ◽  
The Internet ◽  
Fourth Industrial Revolution ◽  
Develop Technology ◽  
The Internet Of Things

With the rapid development of technology in the digitalization era, Industry 4.0 became a terminology that became a reference for research and development in the field of technology in various sectors. This continues to trigger all people to develop technology to enable better utilization in facilitating human life. Society 5.0 is an idea that explains the revolution in people's lives with the development of the fourth industrial revolution. The concept that wants to be presented is how there is a revolution in society that both utilizing technology and also considering humanities aspects. Some sectors of work and needs are beginning to enter digitalization that utilizes Artificial Intelligence, Big Data, Robotics, Automation, Machine Learning, and the Internet of Things.

scholarly journals Data Security and Privacy-Preserving Framework Using Machine Learning and Blockchain in Big-Data to Data Middle Platform in the Era of IR 4.0

2021 ◽  
Author(s):  
Chen Chuqiao ◽  
S.B. Goyal
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Security And Privacy ◽  
Fourth Industrial Revolution ◽  
Data Life Cycle ◽  
Suitable Framework ◽  
Distributed Cloud

The modem data is collected by using IoT, stored in distributed cloud storage, and issued for data mining or training artificial intelligence. These new digital technologies integrate into the data middle platform have facilitated the progress of industry, promoted the fourth industrial revolution. And it also has caused challenges in security and privacy-preventing. The privacy data breach can happen in any phase of the Big-Data life cycle, and the Data Middle Platform also faces similar situations. How to make the privacy avoid leakage is exigency. The traditional privacy-preventing model is not enough, we need the help of Machine-Learning and the Blockchain. In this research, the researcher reviews the security and privacy-preventing in Big-Data, Machine Learning, Blockchain, and other related works at first. And then finding some gaps between the theory and the actual work. Based on these gaps, trying to create a suitable framework to guide the industry to protect their privacy when the organization contribute and operate their data middle platform. No only academicians, but also industry practitioners especially SMEs will get the benefit from this research.

The Impact of FinTech on Financial Services in India

2021 ◽  
pp. 191-200
Author(s):  
Gagan Kukreja ◽  
Divij Bahl ◽  
Ruchika Gupta
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Financial Services ◽  
Industrial Revolution ◽  
New Technologies ◽  
Financial Inclusion ◽  
Fourth Industrial Revolution ◽  
High Penetration ◽  
The Impact

Fintech is a new buzz word in the fourth industrial revolution environment. No financial services across the globe are left unaffected by the new technologies. Artificial intelligence, machine learning, blockchain, and data analytics have immensely influenced many aspects of financial services such as deposits, transactions, billings, remittances, credits (B2B and P2P), underwriting, insurance, and so on. Fintech companies are enabling larger financial inclusion, improvement of lives of humans, better decision-making, and lots more. This chapter covers the development, opportunities, and challenges of financial sectors because of new technologies in India. This chapter throws the light on opportunities that emerged because of demographic dividend, high penetration, and access to the latest and affordable technology, affordable cost of smartphones, and government policies such as Digital India, Startup India, Make in India, and so on. Lastly, this chapter portrays the untapped potentials of Fintech in India.

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.

DEVELOPING THE SCIENTIFIC MAGAZINE IN THE PERIOD OF THE FOURTH INDUSTRIAL REVOLUTION 4.0

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nguyen Duy Dung
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Industrial Revolution ◽  
Scientific Journal ◽  
Publishing Research ◽  
The Other ◽  
High Tech ◽  
Fourth Industrial Revolution ◽  
Socio Economic Development ◽  
International Scientific Journal

Characteristics of the industrial revolution 4.0 is the wide application of high-tech achievements, especially information technology, digitalization, artificial intelligence, network connections for management to create sudden changes in socio-economic development of many countries. Therefore, to reach the high-tech time, many magazines in Vietnam have changed dramatically, striving to reach the international scientific journal system of ISI, Scopus. The publication of international standard scientific journal will meet the demand of publishing research results of local scientists, on the other hand contribute to strengthening exchange, cooperation, international integration in science and technology.

scholarly journals The fourth industrial revolution and labour market regulation in Singapore

2020 ◽  
Vol 31 (3) ◽  
pp. 347-363
Author(s):  
Peter Waring ◽  
Azad Bali ◽  
Chris Vas
Keyword(s):  
Artificial Intelligence ◽  
Labour Market ◽  
Industrial Revolution ◽  
Autonomous Systems ◽  
Market Regulation ◽  
Jel Codes ◽  
Fourth Industrial Revolution ◽  
Labour Market Regulation ◽  
Social Safety Nets ◽  
Large Survey

The race to develop and implement autonomous systems and artificial intelligence has challenged the responsiveness of governments in many areas and none more so than in the domain of labour market policy. This article draws upon a large survey of Singaporean employees and managers (N = 332) conducted in 2019 to examine the extent and ways in which artificial intelligence and autonomous technologies have begun impacting workplaces in Singapore. Our conclusions reiterate the need for government intervention to facilitate broad-based participation in the productivity benefits of fourth industrial revolution technologies while also offering re-designed social safety nets and employment protections. JEL Codes: J88, K31, O38, M53

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