Titlebook: Artificial intelligence in application; Legal aspects, appli Thomas Barton,Christian Müller Book 2024 The Editor(s) (if applicable) and The

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Thomas L. Creer,Russ V. C. Reynoldsd matrices and furthermore determine the optimal number of groups for judgment. Thus, recruiters would only need to look at a few applications for each determined group in order to determine the quality of the specific group. With the use of the neural network, an increase in performance could be ac

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Application Potential of Artificial Intelligence in the Car Tradeng in recommendation processes. For car dealers, the question arises of specialization, e. g. as a service factory or for the fleet management of a mobility service provider, each of which requires different AI scenarios.

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Artificial Intelligence in the Staffing Process: Performance Comparisons of (Un)supervised Learning d matrices and furthermore determine the optimal number of groups for judgment. Thus, recruiters would only need to look at a few applications for each determined group in order to determine the quality of the specific group. With the use of the neural network, an increase in performance could be ac

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Legal Challenges of Artificial Intelligence and How to Manage Them Such autonomous entities pose challenges to the legal system. They are unfit as bearers of legal responsibilites and rights. As a result, they leave gaps in legal accountability when they replace humans. Legislators will close these gaps in an innovation-friendly way only if regulation of artificia

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Application Potential for Causal Inference in Online Marketingkind What if? Accessed and, under certain circumstances, to answer them in a mathematically sound manner. In this paper, the underlying concept is discussed on the one hand and a possible application in marketing is presented on the other hand, which deals with the effectiveness of online advertisin