Governing in the AI Age

Angelo Rosa ()
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Angelo Rosa: University LUM Giuseppe Degennaro, Department of Management, Finance and Technology

Chapter 3 in New Business Organizational Models for Governing in Times of Change, 2025, pp 23-40 from Springer

Abstract: Abstract This chapter discovers the new organizational governance world of the age of AI by focusing on the shift toward proactive instead of reactive leadership in a VUCA environment. It stresses the imperative of ethical AI governance through continuous practices in developing, deploying, and overseeing AI systems ethically, securely, and transparently throughout their life cycle. Centrally involved in this debate are two critical risks posed by biases, opaqueness, and ethics of AI, which require strong data governance frameworks, legal controls, and ethical standards to maintain social norms as well as organizational integrity. This chapter requires agile, adaptive models of governance that use AI in strategic decision-making, drive innovation, and allow organizations to move swiftly as a response to shifting external contexts. It emphasizes the contribution of AI toward reimagining organizational architecture, HR processes, and leadership skills, developing decentralized decision-making, reskilling, and responsible AI creation. It also talks about the intersection of AI and change management and recommends evidence-based frameworks and predictive analytics as drivers of long-term organizational shift. This chapter is wrapped up by the analysis of the dynamic regulatory environment, and more notably, international cooperation to balance innovation with ethical and privacy concerns to make proper adoption of AI work as per human values and societal expectations. In total, this in-depth analysis emphasizes that good governance in the age of AI demands a strategic, ethical, and responsive strategy for tapping the potential of AI and reducing its risks.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-032-04091-6_3

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DOI: 10.1007/978-3-032-04091-6_3

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