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This paper investigates the creation and integration of Artificial Intelligence (AI) patents in Europe. We create a panel of AI patents over time, mapping them into regions at the NUTS2 level. We then proceed by examining how AI is integrated into the knowledge space of each region. In...
Persistent link: https://www.econbiz.de/10012012944
This paper uses a sample of over 9.5 million workers from 22 European countries to study the intertwined effects of digital technology and cross-border production links on workers' wellbeing. We compare the social effects of technological change exhibited by three types of innovation:...
Persistent link: https://www.econbiz.de/10012696558
In more and more situations, artificially intelligent algorithms have to model humans' (social) preferences on whose behalf they increasingly make decisions. They can learn these preferences through the repeated observation of human behavior in social encounters. In such a context, do...
Persistent link: https://www.econbiz.de/10012797793
With Big Data, decisions made by machine learning algorithms depend on training data generated by many individuals. In an experiment, we identify the effect of varying individual responsibility for the moral choices of an artificially intelligent algorithm. Across treatments, we manipulated the...
Persistent link: https://www.econbiz.de/10012797812
The corporate environment is always characterized by a high degree of volatility, uncertainty, complexity and ambiguity. These aspects influence Human Resource Management (HRM) just like other areas of the company. In the context of decision problems, especially in HRM, it is not always possible...
Persistent link: https://www.econbiz.de/10014433742
In this paper we analyse the effects of technological innovation in the artificial intelligence (AI) domain on productivity. We embed the recently released data on patents and publications related to AI into an augmented panel model of productivity growth, estimated for OECD countries, and...
Persistent link: https://www.econbiz.de/10013175558
In this study, we introduce a novel entity matching (EM) framework. It com-bines state-of-the-art EM approaches based on Artificial Neural Networks (ANN) with a new similarity encoding derived from matching techniques that are preva-lent in finance and economics. Our framework is on-par or...
Persistent link: https://www.econbiz.de/10014327033
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