Navigating Ethical AI Challenges in the Industrial Sector: Balancing Innovation and Responsibility

Fuente: arXiv
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Hauptverfasser: Tan, Ruomu, Hoffmann, Martin W
Format: Preprint
Veröffentlicht: 2026
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author Tan, Ruomu
Hoffmann, Martin W
author_facet Tan, Ruomu
Hoffmann, Martin W
contents The integration of artificial intelligence (AI) into the industrial sector has not only driven innovation but also expanded the ethical landscape, necessitating a reevaluation of principles governing technology and its applications and awareness in research and development of industrial AI solutions. This chapter explores how AI-empowered industrial innovation inherently intersects with ethics, as advancements in AI introduce new challenges related to transparency, accountability, and fairness. In the chapter, we then examine the ethical aspects of several examples of AI manifestation in industrial use cases and associated factors such as ethical practices in the research and development process and data sharing. With the progress of ethical industrial AI solutions, we emphasize the importance of embedding ethical principles into industrial AI systems and its potential to inspire technological breakthroughs and foster trust among stakeholders. This chapter also offers actionable insights to guide industrial research and development toward a future where AI serves as an enabler for ethical and responsible industrial progress as well as a more inclusive industrial ecosystem.
format Preprint
id arxiv_https___arxiv_org_abs_2601_09351
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Navigating Ethical AI Challenges in the Industrial Sector: Balancing Innovation and Responsibility
Tan, Ruomu
Hoffmann, Martin W
Computers and Society
Artificial Intelligence
68T99
K.4.0; I.2.1; I.2.9
The integration of artificial intelligence (AI) into the industrial sector has not only driven innovation but also expanded the ethical landscape, necessitating a reevaluation of principles governing technology and its applications and awareness in research and development of industrial AI solutions. This chapter explores how AI-empowered industrial innovation inherently intersects with ethics, as advancements in AI introduce new challenges related to transparency, accountability, and fairness. In the chapter, we then examine the ethical aspects of several examples of AI manifestation in industrial use cases and associated factors such as ethical practices in the research and development process and data sharing. With the progress of ethical industrial AI solutions, we emphasize the importance of embedding ethical principles into industrial AI systems and its potential to inspire technological breakthroughs and foster trust among stakeholders. This chapter also offers actionable insights to guide industrial research and development toward a future where AI serves as an enabler for ethical and responsible industrial progress as well as a more inclusive industrial ecosystem.
title Navigating Ethical AI Challenges in the Industrial Sector: Balancing Innovation and Responsibility
topic Computers and Society
Artificial Intelligence
68T99
K.4.0; I.2.1; I.2.9
url https://arxiv.org/abs/2601.09351