Inequality and Labour Pains

2020 ◽  
pp. 203-219
Author(s):  
Kaushik Basu

A topic that has come increasingly into limelight is rising economic inequality in the world and the suffering of the labouring classes associated with the rise of new technology—in particular, artificial intelligence and digital platforms. Not surprisingly, these were topics with which the author had some ample engagement during his years as policymaker and this chapter speaks to this new global challenge. The chapter provides some basic information about the state of inequality and the falling share of labour income, and also suggests policy interventions to mitigate some of these problems.

2020 ◽  
Vol 26 (8) ◽  
pp. 100-111
Author(s):  
V. Blanutsa ◽  

The national strategy for the development of artificial intelligence for the period up to 2030 sets the task of a significant increase in the number of scientific articles by Russian scientists in this field. To do this, it is necessary to navigate the priorities, problems and prospects of scientific research carried out all over the world. However, there is currently not a single generalizing work on regional economic studies using artificial intelligence algorithms. Therefore, the object of the study was the world array of scientific publications on regional economic research, and the subject of the study was a lot of articles on the use of artificial intelligence algorithms in such studies. The purpose of the work was to generalize world experience. To select the necessary publications, a self-organizing semantic search algorithm has been developed, based on the ideas of content analysis, expert systems and machine learning. The search was carried out in the Scopus database. About a hundred articles were identified. A brief description of ten artificial intelligence algorithms used in regional economic research is given. Analysis of world experience has revealed five features: algorithms are not used to solve all research problems; are not aimed at creating a universal autonomous artificial intelligence system; are increasingly focusing outside of artificial neural networks; rarely used in combination; in domestic works are less diverse than in competing countries. It is proposed to focus efforts on identification of economic regions of specific functioning of production, transport and service systems of artificial intelligence; identification of territorial digital platforms; analysis of the intensity of gravitational interaction of geographically distributed socio-economic objects through 5G and 6G telecommunication networks; assessment of the direction and volume of regional information flows; determination of models of spatial diffusion of innovations in artificial intelligence among Russian regions. The accelerated development of these areas with significant government support will allow Russia to provide a methodological gap from other countries in the field of regional economic research by 2030


Author(s):  
Shigeru Ikuta ◽  
Masamichi Watanuki ◽  
Shinya Abe

Grid Onput is a set of novel two-dimensional codes comprising extremely small dots. The present authors recently developed software to overlap the dot codes on the user's designed sheet, to create a content to replay audios, to create a standalone application to replay multimedia, and to create an application to replay multimedia on iPad. Simply touching the dot codes with a speaking-pen and/or a dot-code reader enables users to directly access the corresponding digital information; a maximum of four mediums can be easily linked to each dot code icon. In collaboration with schoolteachers all over the world, one of the authors, Shigeru Ikuta, has been creating a variety of original self-made content and conducting various activities at both general and special needs schools. This chapter outlines the recent development of the state-of-the-art Grid Onput dot code technology and presents basic information regarding the creation of original teaching materials using newly developed software and the use at both general and special needs schools.


2021 ◽  
Vol 23 (4) ◽  
pp. 11-14
Author(s):  
Aakash Tappe ◽  
◽  
Advita Dalal ◽  
Akshay Tembhurne ◽  
Samiksha Patil ◽  
...  

The world is changing not only because of people’s way of thinking but also the increasing innovative technology. At first which seemed impossible is now both possible and safer. The enhanced technology has helped us make our life happier, better, faster and even safer. Increasing enriching technology is creating new era for science, medicine, luxury and many more things. We have witnessed progressing innovations which are helping us deal with the things human alone can’t deal with! As of the current scenario we are already aware of and that is the pandemic: covid-19. Due to the recent scenario of pandemic, things have gotten pretty different. Some may have adapted to it and living accordingly while others are still in the state of fear. The only pillar standing between the illness and healthiness is “taking precautions”. If we want to get out of the state of the fear and live peacefully again in worse cases possible, it will always be necessary to take all the necessary precautions.


2019 ◽  
Vol 1 (01) ◽  
pp. 1-7
Author(s):  
Tasya Safiranita Ramli ◽  
Ahmad M. Ramli ◽  
Rika Ratna Permata ◽  
Danrivanto Budhijanto

With the new advances in the Industrial Revolution 4.0 era, which were initiated by artificial intelligence coupled with genetic engineering and nanotechnology, changes will occur in a very fast period of time and result in an impact on the economic industry and also governance in the presence of new business that was born of innovators to create strategies through digital platforms. In Indonesia, digital innovation is not only in one area, but also in the fields of education, food, health, which is also used as a new law in government that supports the Industrial Revolution 4.0 era. These developments also affected the world industry. The birth of the term Industrial Revolution 4.0 was a continuation of the previous industrial revolution. The Industrial Revolution 4.0 is an amalgamation of an optimized manufacturing industry with the latest internet technology.


2021 ◽  
Vol 4 (1) ◽  
pp. 72-77
Author(s):  
Ebba Ossiannilsson

During the Covid-19 pandemic in the spring of 2020, educational organizations around the world were closed suddenly, while education continued. In a time of digitalization and information technology, such emergencies are no excuse for halting continuous learning. It has become evident that the digital revolution concerns people and their habits, behaviors, and attitudes in using the new technology. This conceptual article is based on the current discourse on the “new normal” after Covid-19, which will be about change, reorientation, and sustainability. A sustainable society requires access to successful strategies, agile and flexible leadership, digital platforms, partnerships, and the ability to respond to rapid change, promote flexibility in learning, and support our students. Based on these aims, we can prepare for the UNESCO initiative, Futures of Education – Learning to Become.   Keywords: Covid-19, ecosystem, futures of education, OER Recommendation, new normal


2020 ◽  
Author(s):  
AISDL

In Artificial Intelligence: A guide for to thinking humans, Melanie Mitchell, an AI researcher in the Santa Fe Institute, provides an accessible review of the state-of-the-art AI systems around the world and highlights how these advanced systems differ from human intelligence.


Author(s):  
Quoc-Viet Pham ◽  
Dinh C. Nguyen ◽  
Thien Huynh-The ◽  
Won-Joo Hwang ◽  
Pubudu N. Pathirana

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 215 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 14 April 2020, a cumulative total of 1,853,265 (118,854) infected (dead) COVID-19 cases were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify their applications in fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.


2020 ◽  
Vol 15 (2) ◽  
pp. 307-319
Author(s):  
Ken Sudarti ◽  
Annissa Aprilia Sari

The world has now entered the era of the Industrial Revolution 4.0, where in this era the world was colored by artificial intelligence (artificial intelligence), genetic engineering, nanotechnology, innovation, and changes that occurred rapidly had an impact on the economy, industry, government, and politics. Industry 4.0 is more likely to lead to business activities using digital platforms such as mobile shopping, e-commerce, marketplaces, and so on. The characteristic of online shopping is that it must be simple and fun, and with a very varied platform can increase its own trust in consumers to shop online. This study aims to develop the concept of a business platform that can affect the perceived usefulness and perceived enjoyment of the millennial generation in online shopping. This concept focuses on one's repurchase intention to do online shopping which is influenced by the existence of so many business platforms and provide different services. The population used is characteristic of the millennial generation in Central Java. This sampling technique using purposive sampling method. The samples used amounted to more than 100 millennials in Central Java, and who frequently use business platforms/applications in online shopping. Data analysis techniques using regression with SPSS


2021 ◽  
Vol 17 (21) ◽  
pp. 350
Author(s):  
Abedalfattah Zuhair Al-abedallat ◽  
Ali Bakhit Jaafreh ◽  
Duraid Kamel Alshbib

Abstract This paper focuses on identifying the impact of technical and financial obstacles to the applications and expansion of the smart branches of banks in Jordan. This, however, depends on the Automation of Robotic Processes to identify the reality of applying smart branches in the world, including Jordan. The study employed a sample of 100 employees selected in an equal random manner from 25 Jordanian banks. With its spreading strands, multiple linear regression was used to test the hypotheses of the study. The study concluded that the expansion of banks of smart branches (robots) contributes to reducing operational cost and increasing the bank's profits by reducing the cost of banking service, enhancing its quality, increasing the market share of banks, and reducing the technical and financial obstacles that have a significant impact on the expansion of the smart branches of banks. The study recommended the importance of the development of smart branches of banks in Jordan due to its benefits in reducing the costs of the provided banking service. This contributes to increasing its profits. Also, banks should hold specialized training courses for bank workers on how to use the new technology. Banks should also allocate funds needed to create the essential infrastructure for the smart branch Applications of Artificial Intelligence, as this has an impact in achieving competitive advantage.


Author(s):  
Jonalyn Mae E. Aranda ◽  
Jasper Rae Zeus A. Antonio

The world is now faced with a devastating pandemic outbreak coronavirus disease-2019 (COVID-19). The latest coronavirus infected almost all continents and witnessed sharp rises in cases diagnosed. The engineers tend to eliminate the matter and have solutions, one in every utilizing technical innovation. Researchers from Singapore, Taiwan, and Denmark have developed a fully automated robot that may take coronavirus swabs in order for health care professionals don’t seem to be exposed to the chance of infection. The objective of this study is to present the potential effects of robotics to help healthcare professionals on getting specimens and testing for COVID-19. These possible consequences include positive and negative outcomes and as a result, the overall impact on the profit or loss to society is far from obvious. The paper discusses two theoretical scenarios, distinguished fundamentally by the different behavioral responses of the automated swab robot and the selection of results in line with policy interventions.


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