ADVANCED AUTOMATION TECHNOLOGY, LABOR MARKET INSECURITY, AND COLLECTIVE JOBLESSNESS: THE DETERMINANTS, CONSTRAINTS AND EMPLOYMENT EFFECTS OF ROBOTS AND ARTIFICIAL INTELLIGENCE ON THE REALM OF WORK

2018 ◽  
Vol 6 (2) ◽  
pp. 92
Keyword(s):  
Artificial Intelligence ◽  
Labor Market ◽  
Employment Effects ◽  
Automation Technology

scholarly journals Impact of Industrial Revolution 4.0 on the Labor Market in Vietnam

2021 ◽  
Vol 12 (1) ◽  
pp. 94
Author(s):  
Nguyen Minh Tri ◽  
Doan Thi Nhe
Keyword(s):  
Artificial Intelligence ◽  
Labor Market ◽  
Market Structure ◽  
Industrial Revolution ◽  
National Development ◽  
Strong Impact ◽  
The World ◽  
Global Labor Market ◽  
Catch Up ◽  
Automation Technology

Industrial Revolution 4.0 is taking shape and has a strong impact on the global labor market. The strength of the system connecting everything and artificial intelligence as well as automation technology is changing the labor market structure of countries in the world in general and of Vietnam in particular. For the labor market, the Industrial Revolution 4.0 has created many opportunities and challenges that require managers to catch up in time to have appropriate directions and solutions to develop the labor market, and meet the requirements of the current national development career.

scholarly journals U.S. AI Workforce: Labor Market Dynamics

2021 ◽  
Author(s):  
Diana Gehlhaus ◽  
Ilya Rahkovsky
Keyword(s):  
Artificial Intelligence ◽  
Labor Market ◽  
The State ◽  
Potential Effectiveness ◽  
Good Data ◽  
Information Gap ◽  
Labor Market Dynamics ◽  
Ongoing Concern ◽  
Insight Into ◽  
The U.S

A lack of good data on the U.S. artificial intelligence workforce limits the potential effectiveness of policies meant to increase and cultivate this cadre of talent. In this issue brief, the authors bridge that information gap with new analysis on the state of the U.S. AI workforce, along with insight into the ongoing concern over AI talent shortages. Their findings suggest some segments of the AI workforce are more likely than others to be experiencing a supply-demand gap.

The Rise of Artificial Intelligence

2020 ◽  
pp. 1298-1313
Author(s):  
Robert Niewiadomski ◽  
Dennis Anderson
Keyword(s):  
Artificial Intelligence ◽  
Labor Market ◽  
Exponential Growth ◽  
Cognitive Abilities ◽  
Full Range ◽  
Rapid Expansion ◽  
Employment Opportunities ◽  
Strong Ai ◽  
Long Run ◽  
The Impact

Our inventions defined the work we engaged in for centuries; created new industries and employment opportunities around them. They, however, had often unforeseen consequences that affected the way we lived, interacted with each other, and redefined our societal rules. The established narration portrays the impact of major technological leaps in civilization on employment as temporary disruptions: Many finds themselves without employment taken away from them by efficient, laborsaving inventions, but, in the long run, through gradual adaptations, improved education and gaining higher qualifications, everyone benefits. In this chapter, the authors explore the impact of the rapid expansion of artificial intelligence (AI) in relations to the labor market. The authors argue that this rather optimistic, even naïve scenario, collapses while confronted with the exponential growth of AI; in particular, with the potential arrival of syneoids – robotic forms of “strong AI” possessing, or even exceeding, the full range of human cognitive abilities.

Conclusion

2021 ◽  
pp. 161-164
Author(s):  
Eric A. Posner
Keyword(s):  
Artificial Intelligence ◽  
Labor Market ◽  
Labor Markets ◽  
Human Beings ◽  
Independent Contractors ◽  
Gig Economy ◽  
Long Run ◽  
The Social ◽  
Market Fragmentation ◽  
Social Surplus

Many people are worried about the fragmentation of labor markets, as firms replace employees with independent contractors. Another common worry is that low-skill work, and ultimately nearly all forms of work, will be replaced by robots as artificial intelligence advances. Labor market fragmentation is not a new phenomenon and can be addressed with stronger classification laws supplemented by antitrust enforcement. In fact, the gig economy has many attractive elements, and there is no reason to fear it as long as existing laws are enforced. Over the long run, artificial intelligence may replace much of the work currently performed by human beings. If it does, the appropriate response is not antitrust or employment regulation but policy that ensures the social surplus is fairly divided.

Minimum Wage Employment Effects and Labor Market Concentration

2019 ◽  
Author(s):  
José Azar ◽  
Emiliano Huet-Vaughn ◽  
Ioana Elena Marinescu ◽  
Bledi Taska ◽  
Till Von Wachter
Keyword(s):  
Labor Market ◽  
Minimum Wage ◽  
Market Concentration ◽  
Employment Effects ◽  
Wage Employment

Structural Adjustment Policies and Employment in Turkey

1996 ◽  
Vol 15 ◽  
pp. 65-93 ◽  
Author(s):  
Fikret Şenses
Keyword(s):  
Labor Market ◽  
World Bank ◽  
Structural Adjustment ◽  
Import Substitution ◽  
Employment Effects ◽  
Export Orientation ◽  
The World Bank ◽  
The World ◽  
Adjustment Policies ◽  
Recent Debate

Much of the recent debate on the labor market issues of developing countries has revolved around the interaction of the labor market with stabilization and structural adjustment policies, introduced mostly in conjunction with the IMF and the World Bank. In particular, there is a growing body of literature on the interaction between structural adjustment policies and employment performance in these countries.According to the dominant view in this literature, the favorable employment effects of these policies stem basically from the shift of industrial trade strategy from state-led import substitution towards market-based export orientation.

scholarly journals Inference of Drawing Elements and Space Usage on Architectural Drawings Using Semantic Segmentation

2020 ◽  
Vol 10 (20) ◽  
pp. 7347
Author(s):  
Jihyo Seo ◽  
Hyejin Park ◽  
Seungyeon Choo
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Problem Solving ◽  
Architectural Design ◽  
Semantic Segmentation ◽  
Data Sets ◽  
Functional Requirements ◽  
Architectural Drawings ◽  
Design Alternatives ◽  
Automation Technology

Artificial intelligence presents an optimized alternative by performing problem-solving knowledge and problem-solving processes under specific conditions. This makes it possible to creatively examine various design alternatives under conditions that satisfy the functional requirements of the building. In this study, in order to develop architectural design automation technology using artificial intelligence, the characteristics of an architectural drawings, that is, the architectural elements and the composition of spaces expressed in the drawings, were learned, recognized, and inferred through deep learning. The biggest problem in applying deep learning in the field of architectural design is that the amount of publicly disclosed data is absolutely insufficient and that the publicly disclosed data also haves a wide variety of forms. Using the technology proposed in this study, it is possible to quickly and easily create labeling images of drawings, so it is expected that a large amount of data sets that can be used for deep learning for the automatic recommendation of architectural design or automatic 3D modeling can be obtained. This will be the basis for architectural design technology using artificial intelligence in the future, as it can propose an architectural plan that meets specific circumstances or requirements.

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