Abstract
This chapter analyzes issues that are usually not associated with the business performance but that instead have a profound impact on the company’s financial results. Ethics is indeed a strong component in the algorithmic development and should be managed with care. The chapter will discuss the most common ethics problems and data biases and propose some food for thoughts rather than solutions. It will also talk about the control problem, the accounting and explainability issues, and the development of a safe AI.
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Corea, F. (2019). AI and Ethics. In: An Introduction to Data. Studies in Big Data, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-030-04468-8_13
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DOI: https://doi.org/10.1007/978-3-030-04468-8_13
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04467-1
Online ISBN: 978-3-030-04468-8
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