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Artificial intelligence in industry – ethical challenges

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Artificial intelligence is revolutionising industry, significantly improving work efficiency. However, the development of AI continues to generate new ethical challenges. An international legal framework has already been developed to ensure the ethical and safe development of AI. However, it seems that new threats and ethical dilemmas continue to arise as AI develops further. This study aims to explain some of the benefits and threats of using AI in industry and to encourage reflection on the need to intensify work in this area in view of the further development of AI. Several selected ways of using AI in industry are presented, such as the implementation of cobots, algorithmic management, employee monitoring, the implementation of sustainable development ideas, and the use of generative artificial intelligence. Some of the existing legal frameworks for the safety and ethics of artificial intelligence are also described. The work is theoretical in nature and is based on a critical analysis of the literature on the subject. The reflections presented reveal a lack of consideration of the dangers associated with the responsibility involved in entrusting machines with autonomy and decision-making.

Original languageEnglish
Pages (from-to)550-564
Number of pages15
JournalProduction Engineering Archives
Volume31
Issue number4
DOIs
Publication statusPublished - 1 Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • artificial intelligence
  • ethics
  • industry
  • robot
  • technology

ASJC Scopus subject areas

  • Management Information Systems
  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering
  • Management of Technology and Innovation

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