Abstract
AI is a new technology that enables organizations to leverage their data to create new value propositions for customers. Javier Zamora argues that the introduction of AI in any organization translates into new business challenges, because the data, both as input, as well as output of AI models, requires a specific governance. In this chapter, Zamora presents a holistic framework on the use of data and AI algorithms. He also outlines some comprehensive guidelines that general managers should follow to achieve a good AI governance within a digital density framework.
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Notes
- 1.
General Data Protection Regulation focuses specifically on protecting data and ensuring its privacy. Any organization operating within EU will be obliged to gather data legally and under strict conditions and protect it from misuse by third parties, otherwise it will be fined. Organizations are required to use the highest privacy settings, so that the data does not become public. GDPR empowers individuals to challenge organizations to reveal or delete their personal data.
- 2.
In this context, bias does not refer to its statistical meaning but to the inclination or prejudice for or against one person or group, especially in a way considered to be unfair.
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Zamora, J. (2020). Managing AI Within a Digital Density Framework. In: Canals, J., Heukamp, F. (eds) The Future of Management in an AI World. IESE Business Collection. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-20680-2_11
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