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Empowering Digital Innovation by Diverse Leadership in ICT – A Roadmap to a Better Value System in Computer Algorithms

Bianca Weber-Lewerenz () and Ingrid Vasiliu-Feltes ()
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Bianca Weber-Lewerenz: Bianca Weber-Lewerenz Engineering
Ingrid Vasiliu-Feltes: University of Miami

Humanistic Management Journal, 2022, vol. 7, issue 1, No 5, 117-134

Abstract: Abstract Diverse leadership in information and communication technology (ICT) can be defined as an approach to empower digital innovation. Digital innovation is a key driver of digital and business transformation. This process demands human transformation to complement business transformation in order to achieve long term sustainability. Changing the culture, fostering an inclusive mindset and guaranteeing diversity are challenging yet foundational elements in building a legacy and require inclusive digital ethics leadership. Our society needs to undergo disruptive and transformative changes in order to adapt to exponential technological advances in the educational, professional, cultural and governance fields. The digital era holds great potential for increased inclusion, reduction or even closure of the „Gender Leadership Gap “in all industries, especially in the Construction and IT industry, Research and Development sectors, as well as in Academia where women are still underrepresented. This article analyzes how diverse leadership in ICT is a moral imperative for our society, emphasizes the need to recalibrate and reshape our approach and highlights the benefits of leveraging women’s potential in the social, digital and business transformation arenas. This article aims to fill an ‘ethical vacuum’ brought to light by the emerging technologies` revolution, focuses on both ethical and data governance aspects in digital innovation and offers approaches to answer how diverse leadership can contribute towards avoiding gender bias, optimizing inclusion and further improve crucial digital ethics aspects in data-driven technologies - such as algorithmic bias, fairness, transparency in AI.

Keywords: Ethics; Diverse leadership; Digitization; Artificial intelligence; Computer algorithms; Data governance; Gender Bias; Emerging technology (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s41463-022-00123-7

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