A Korinek, JE Stiglitz - The economics of artificial intelligence: An …, 2018 - degruyter.com
… what Hicks referred to as labor- saving innovations, that is, innovations that at a given wage lead to less demand for labor. Artificialintelligence appears to be a labor- saving innovation. …
M Kovacova, J Kliestikova, M Grupac, I Grecu… - Journal of Research in …, 2019 - ceeol.com
… for human labor. Developments in robotics, artificialintelligence, and machinelearning will … way out from the expenses and risks related to human labor. (Estlund, 2018) There will be …
H David, A Mas - NBER Reporter, 2021 - econstor.eu
… factors such as minimum wage regulations, labor unions, and globalization; and technological developments including robotics, artificialintelligence, and algorithmic decision-making. It …
Y Zhang - International Journal of Frontiers in Sociology, 2020 - francis-press.com
… artificialintelligence on Labor Laws and policies. As mentioned above, the stipulation of double wages in the Labor … to urge enterprises to conclude written labor contracts to protect the …
E Ernst, R Merola, D Samaan - IZA Journal of Labor Policy, 2019 - sciendo.com
The current wave of technological change based on advancements in artificialintelligence (AI) has created widespread fear of job loss and further rises in inequality. This paper …
C Bolton, V Machová, M Kovacova… - … , and Financial Markets, 2018 - ceeol.com
… or less need for labor. Advance in artificialintelligence may replace human labor, or even … If artificialintelligence shortly substitutes for human labor, the need for the latter and wages …
J Kang, H Shin, C Kang - Journal of Hospitality and Tourism …, 2024 - emerald.com
… Purpose – This study aims to examine the impact of artificialintelligence (AI) adoption on job insecurity and its subsequent effect on turnover intentions within the hotel industry. It …
… The objective of this study is to explore the impact of artificialintelligence (AI) development and dissemination on the sports industry labor market through the prism of technological …
This paper presents a novel approach, using hybrid feature selection (HFS), machinelearning (ML), and particle swarm optimization (PSO) to predict and optimize construction labor …