scholarly journals Service Robots Usage in Marketing Hospitality in China

2021 ◽  
Vol 10 (2) ◽  
pp. 13
Author(s):  
Ayse Begum Ersoy ◽  
Ziqi Cui
Keyword(s):  
Artificial Intelligence ◽  
Hospitality Industry ◽  
Essential Role ◽  
Service Robots ◽  
Human Intelligence ◽  
The Public ◽  
Advanced Technologies ◽  
The World ◽  
Interpersonal Distancing ◽  
The Impact

Since the coronavirus disease 2019(COVID-19) has had brought severe impact on all aspects of the world. A series of interpersonal distancing methods such as ensuring effective and safe social distancing among people, wearing masks, and traffic lockdown measures are also continuing to take effect to curb the continuing outbreak of the COVID-19 (“Advice for the public on COVID-19”, 2020). In response to the globally spread of COVID-19, many advanced technologies in the field of Artificial Intelligence (AI) were applied rapidly and played an essential role in the operation for several months. There are many different leading technology categories in the field of artificial intelligence and many different sub-categories within each main technology categories. Moreover, since the AGI technology does not yet reach the basic human intelligence level, this study will focus on the impact of service robots, which are already widely used in the NAI application category, on hospitality marketing in the current situation in China. In this paper the aim is to assess the effectiveness of use of service robots in Marketing Hospitality Industry during the pandemic through a quantitative study.

scholarly journals ARTIFICIAL INTELLIGENCE: IS IT A THREAT OR AN OPPORTUNITY BASED ON ITS LEGAL PERSONALITY AND CRIMINAL LIABILITY?

2021 ◽  
Vol 6 (20) ◽  
pp. 01-09
Author(s):  
Mark Louis ◽  
Angelina Anne Fernandez ◽  
Nazura Abdul Manap ◽  
Shamini Kandasamy ◽  
Sin Yee Lee
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Criminal Liability ◽  
Legal Person ◽  
Human Intelligence ◽  
Legal Research ◽  
Legal Personality ◽  
The World ◽  
Technological World ◽  
The Impact

Information technology is taking the world by storm. The technological world is changing rapidly and drastically. Human activities are taken over by robots and computers. The usage of computers and robots has increased productivity in various sectors. The emergence of artificial intelligence has stirred up many debates on both its importance and limitations. Artificial intelligence is directed to the usage of Information Technology in conducting tasks that normally require human intelligence. The expectation of artificial intelligence is high, nevertheless, artificial intelligence has its shortcomings namely the impact of artificial intelligence on the concept of a legal personality. The problem with artificial Intelligence is the debate on whether does it have a legal personality? And another problem is under what situation does the law treat artificial intelligence as an entity with its own rights and obligations. The objective of this article is to examine the various definitions of legal personality and whether artificial intelligence can become a legal person. The article will also examine the criminal liability of artificial intelligence when a crime has been committed. The methodology adopted is qualitative namely Doctrinal Legal Research by analyzing the relevant legal views from various journals on artificial intelligence. The study found out that artificial intelligence has its limitations in defining its legal personality and also in examining the criminal liability when a crime has been committed by robots.

Private Agricultural R&D: Do the Poor Benefit?

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jock R. Anderson ◽  
Regina Birner ◽  
Latha Najarajan ◽  
Anwar Naseem ◽  
Carl E. Pray
Keyword(s):  
Poverty Reduction ◽  
Agricultural Research ◽  
Farming Systems ◽  
Agricultural Technologies ◽  
Policy Makers ◽  
The Public ◽  
The Poor ◽  
The World ◽  
Agricultural Research And Development ◽  
The Impact

Abstract Private agricultural research and development can foster the growth of agricultural productivity in the diverse farming systems of the developing world comparable to the public sector. We examine the extent to which technologies developed by private entities reach smallholder and resource-poor farmers, and the impact they have on poverty reduction. We critically review cases of successfully deployed improved agricultural technologies delivered by the private sector in both large and small developing countries for instructive lessons for policy makers around the world.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

Transnational Protest and The Public Sphere

2005 ◽  
Vol 10 (1) ◽  
pp. 95-109 ◽  
Author(s):  
Michelle Beyeler ◽  
Hanspeter Kriesi
Keyword(s):  
Public Sphere ◽  
Media Coverage ◽  
Public Support ◽  
Economic Globalization ◽  
The Public ◽  
The World ◽  
World Economic ◽  
The Public Sphere ◽  
The Impact ◽  
Selection Of

This article explores the impact of protests against economic globalization in the public sphere. The focus is on two periodical events targeted by transnational protests: the ministerial conferences of the World Trade Organization (WTO) and the annual meetings of the World Economic Forum (WEF). Based on a selection of seven quality newspapers published in different parts of the world, we trace media attention, support of the activists, as well as the broader public debate on economic globalization. We find that starting with Seattle, protest events received extensive media coverage. Media support of the street activists, especially in the case of the anti-WEF protests, is however rather low. Nevertheless, despite the low levels of support that street protesters received, many of their issues obtain wide public support.

scholarly journals Globalization, Knowledge Economy and the implication for Indigenous Knowledge

2007 ◽  
Vol 7 ◽  
pp. 55-62
Author(s):  
Kgomotso H Moahi
Keyword(s):  
Indigenous Knowledge ◽  
Knowledge Economy ◽  
Political Power ◽  
Developed Countries ◽  
Public Domain ◽  
The Public ◽  
The World ◽  
The Developed Countries ◽  
The Impact ◽  
Flow Of Information

This paper considers the impact that globalization and the knowledge economy have on the protection and promotion of indigenous knowledge. It is asserted that globalization and the knowledge economy have opened up the world and facilitated the flow of information and knowledge. However, the flow of knowledge has been governed by uneven economic and political power between the developed countries and the devel-oping countries. This has a number of ramifications for IK. The dilemma faced is that whichever method is taken to protect IK (IPR regimes, documenting IK etc) exposes IK to some misappropriation. Protecting it through IPR is also fraught with problems. Documenting IK exposes IK to the public domain and makes it that much easier to be misused. However, not protecting IK runs the danger of having it disappear as the custodians holding it die off, or as communities become swamped by the effects of globalization. The conclu-sion therefore is that governments have to take more interest in protecting, promoting and using IK than they have been doing.

scholarly journals Perlindungan Hukum terhadap Hak Pekerja Perempuan Di Masa Pandemi Covid-19

2020 ◽  
Vol 12 (2) ◽  
pp. 226
Author(s):  
Conie Pania Putri
Keyword(s):  
Women Workers ◽  
The Public ◽  
Female Workers ◽  
Library Research ◽  
The World ◽  
Work Relationship ◽  
The Government ◽  
Employment Of Women ◽  
The Impact ◽  
Collection Methods

The world is currently being faced by a global covid-19 pandemic, including in Indonesia this pandemic is very disturbing to the public. Manpower development must be regulated in such a way that basic rights and protections for workers are fulfilled, especially for women workers so as to create conducive conditions. The purpose of this paper is to find out the policies issued by companies for workers, especially women workers during the Covid-19 pandemic. This writing method is library research, which is a series of research related to library data collection methods, or research where the object of research is excavated through a variety of library information. The results obtained in this paper are that the company policies that terminate employment of women during the Covid-19 pandemic are protected by Law Number 13 of 2003 concerning Manpower, the losses caused by the company have not reached 2 years, the company cannot simply terminate the work relationship, Then there needs to be other efforts provided by companies or the government in overcoming the impact of Covid-19 on laid-off workers so that they can limit working time / overtime and workers can be sent home without breaking the work relationship The suggestion is expected that the government should supervise and act decisively against companies that employ female workers.

Disruptions of the Fourth Industrial Revolution

2021 ◽  
pp. 189-199
Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera
Keyword(s):  
Artificial Intelligence ◽  
Technological Innovation ◽  
Industrial Revolution ◽  
Technological Innovations ◽  
Fourth Industrial Revolution ◽  
Skill Gaps ◽  
The World ◽  
The Future ◽  
The Impact ◽  
And Robotics

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.

Relevance of Artificial Intelligence in Modern Healthcare

2022 ◽  
pp. 67-88
Author(s):  
Dhanabalan Thangam ◽  
Anil B. Malali ◽  
Gopalakrishanan Subramaniyan ◽  
Sudha Mariappan ◽  
Sumathy Mohan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Infection Rate ◽  
Human Intelligence ◽  
Virus Spread ◽  
Advanced Technologies ◽  
The People

Artificial intelligence (AI) and machine learning (ML) are playing a major role in addressing and understanding better the COVID-19 crisis in recent days. These technologies are simulating human intelligence into the machines and consume large amounts of data for identifying and understanding the patterns and insights quickly than a human and preparing us with new kinds of technologies for preventing and fighting with COVID-19 and other pandemics. It helps a lot to notice the people who got infected by the virus and to forecast the infection rate in the upcoming days with the earlier data. Healthcare and medical sectors are in requirement of advanced technologies for taking accurate decision to manage this virus spread. AI-enabled technologies are working in a talented way to do things intelligently like human intelligence. Thus, the AI-enabled technologies are employed for attaining accurate health results by examining, forecasting, and checking present infected and possibly future cases.

scholarly journals Impact of an Artificial Intelligence Research Frame on the Perceived Credibility of Educational Research Evidence

2019 ◽  
Vol 30 (2) ◽  
pp. 205-235 ◽  
Author(s):  
Mutlu Cukurova ◽  
Rosemary Luckin ◽  
Carmel Kent
Keyword(s):  
Artificial Intelligence ◽  
Educational Research ◽  
Educational Psychology ◽  
Research Evidence ◽  
Public Image ◽  
The Public ◽  
Perceived Credibility ◽  
Key Stakeholders ◽  
Education Community ◽  
The Impact

AbstractArtificial Intelligence (AI) is attracting a great deal of attention and it is important to investigate the public perceptions of AI and their impact on the perceived credibility of research evidence. In the literature, there is evidence that people overweight research evidence when framed in neuroscience findings. In this paper, we present the findings of the first investigation of the impact of an AI frame on the perceived credibility of educational research evidence. In an experimental study, we allocated 605 participants including educators to one of three conditions in which the same educational research evidence was framed within one of: AI, neuroscience, or educational psychology. The results demonstrate that when educational research evidence is framed within AI research, it is considered as less credible in comparison to when it is framed instead within neuroscience or educational psychology. The effect is still evident when the subjects’ familiarity with the framing discipline is controlled for. Furthermore, our results indicate that the general public perceives AI to be: less helpful in assisting us to understand how children learn, lacking in adherence to scientific methods, and to be less prestigious compared to neuroscience and educational psychology. Considering the increased use of AI technologies in Educational settings, we argue that there should be significant attempts to recover the public image of AI being less scientifically robust and less prestigious than educational psychology and neuroscience. We conclude the article suggesting that AI in Education community should attempt to be more actively engaged with key stakeholders of AI and Education to help mitigate such effects.

scholarly journals Use of artificial intelligence in imaging in rheumatology – current status and future perspectives

RMD Open ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. e001063 ◽  
Author(s):  
Berend Stoel
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Basic Research ◽  
Current Status ◽  
Future Perspectives ◽  
Clinical Imaging ◽  
The World ◽  
Human Interpretation ◽  
The Impact ◽  
Insight Into

After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtained significant breakthroughs, enabling computer programs to outperform human interpretation of medical images in very specific areas. After this shock wave that probably exceeds the impact of the first AI victory of defeating the world chess champion in 1997, some reflection may be appropriate on the consequences for clinical imaging in rheumatology. In this narrative review, a short explanation is given about the various AI techniques, including ‘deep learning’, and how these have been applied to rheumatological imaging, focussing on rheumatoid arthritis and systemic sclerosis as examples. By discussing the principle limitations of AI and deep learning, this review aims to give insight into possible future perspectives of AI applications in rheumatology.

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