Titlebook: AI for the Good; Artificial Intellige Stefan H. Vieweg Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license t

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https://doi.org/10.1007/3-211-38046-9enges of different corporate stakeholders and influencing groups. In particular—and starting with—consumers play a dominant role in business ethics even though they may only indirectly (but ultimately) influence what and how goods and services are produced, offered, and consumed. Producers’ ethics i

尊敬

ANIM

Engineering & Economic Geology,rtificial intelligence. Spiral dynamics presents the development toward an integral and holistic system of consciousness and values. A holistic management concept for a sustainable corporate management is possible through value-oriented corporate management based on an integral philosophy. Through a

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Phase Relations among End-Member Solids,chapter, a little trust is built up by setting the current digital transformation into a historical context. Examples that show the potential and risks emerging from AI-based applications are discussed. Obviously, disruption is not new and key lessons can be learnt from the past. The “digital trio”

疏远天际

Thermodynamics of Crystalline Solutions,I in particular have on the amount and type of human work will be discussed. Obviously, the ethical challenge of AI technology is immense and scratches on the cornerstone of open societies in particular. The AI superpowers the USA and China are discussed from an ethical perspective by providing a re

含沙射影

Geological Constraints of Mineralisationision-making, as well in the financial industries. The extreme positions—apathy on the one side, and hysteria on the other—are illustrated and declassified as non-options. The sweet spot to strive for is being worked out by reflecting on the current stage of financial services. The opportunities der

ANA

Introduction to the Theory of Samplinged by the AI evangelist Florian Schild, cofounder of the German Federal Association for Artificial Intelligence and cofounder of boot.AI. Not only does the CEO learn from a test setting that even with minimal data (it does not always have to be just big data) you can increase efficiency through the

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Drilling Techniques and Drill Holes LoggingI applications as a matter of course, human resources management (HRM) often lags behind. Against this background, this chapter explores the potential of AI in HRM. Based on the task technology fit theory, a conceptual framework for the effectiveness of HRM-related AI applications is first developed

个人长篇演说

Introduction to the Theory of Sampling ever before. Given its disruptive nature, AI affects entire societies’ prosperity projections right down to every individual to earn a living; it has a massive impact on the environment as well. Illustration of key initiatives in the EU and the USA toward ethical AI is discussed such as applicable