Ethical Challenges in the New Era of Intelligent Manufacturing Systems

Abstract

This chapter explores the ethical challenges arising from the integration of advanced artificial intelligence (AI) technologies into intelligent manufacturing systems. Machine learning (ML), augmented reality/virtual reality (AR/VR), digital twins, and human–robot collaboration (HRC) redefine industrial production, they bring forth unprecedented efficiencies and capabilities but also introduce complex ethical considerations. The text delves into issues such as data privacy, job displacement, the impact of automation on workforce dynamics, and the psychological effects of working alongside AI-powered systems. Through a detailed examination of these technologies and their implications, the chapter advocates for a dynamic ethical framework that evolves alongside technological advancements. This framework should prioritize human dignity, safety, and rights, involving all stakeholders in its development and implementation. By addressing the ethical implications of AI, AR/VR, digital twins, and HRC, the chapter underscores the necessity of balancing technological innovation with ethical responsibility. It calls for collaborative efforts involving policymakers, industry leaders, workers, and consumers to navigate the ethical landscape of intelligent manufacturing, aiming to harness the potential of these technologies responsibly for the betterment of society and the workforce.

Citation

Stathatos, E., Benardos, P. and Vosniakos, G.-C. (2024), "Ethical Challenges in the New Era of Intelligent Manufacturing Systems", Stelios, S. and Theologou, K. (Ed.) The Ethics Gap in the Engineering of the Future, Emerald Publishing Limited, Leeds, pp. 51-82. https://doi.org/10.1108/978-1-83797-635-520241004