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<p>The growing integration of Generative Artificial Intelligence (Gen AI) into Industry 4.0 is transforming industrial systems by enhancing automation, accelerating innovation, improving productivity, and enabling new forms of creativity in manufacturing and product development. However, the expanding use of Gen AI also raises complex legal, ethical, and sustainability challenges that require careful regulatory considerations. This article examines the emerging legal frameworks governing Gen AI, with particular focus on intellectual property rights, data privacy, protection of sensitive information, and accountability for AI-driven decisions. It critically explores issues related to the proprietary use of training datasets, ownership disputes concerning AI-generated outputs, and the need to clearly define responsibility among developers, users, manufacturers, and other stakeholders. The article further analyzes the implications of Gen AI for product design and manufacturing, particularly regarding product defects, liability, and intellectual property ownership. From an ethical perspective, it highlights the importance of fairness, inclusivity, transparency, and human oversight as Gen AI increasingly performs tasks traditionally carried out by humans. In addition, the article considers the sustainability concerns associated with Gen AI, particularly its high energy consumption and environmental impact. Ultimately, the article argues for developing a comprehensive, industry-wide governance framework that balances technological advancement with legal certainty, ethical responsibility, and long-term environmental sustainability.</p>

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Legal and ethical challenges of AI in industry 4.0

  • 期刊论文

  • 发表日期：

    2026年8月4日

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  • Ria Mathews,
  • Safad Ismail,
  • Harsha Vasudev,
  • Vicky Nair,
  • Betty James,
  • Ashok Vaseashta

摘要

The growing integration of Generative Artificial Intelligence (Gen AI) into Industry 4.0 is transforming industrial systems by enhancing automation, accelerating innovation, improving productivity, and enabling new forms of creativity in manufacturing and product development. However, the expanding use of Gen AI also raises complex legal, ethical, and sustainability challenges that require careful regulatory considerations. This article examines the emerging legal frameworks governing Gen AI, with particular focus on intellectual property rights, data privacy, protection of sensitive information, and accountability for AI-driven decisions. It critically explores issues related to the proprietary use of training datasets, ownership disputes concerning AI-generated outputs, and the need to clearly define responsibility among developers, users, manufacturers, and other stakeholders. The article further analyzes the implications of Gen AI for product design and manufacturing, particularly regarding product defects, liability, and intellectual property ownership. From an ethical perspective, it highlights the importance of fairness, inclusivity, transparency, and human oversight as Gen AI increasingly performs tasks traditionally carried out by humans. In addition, the article considers the sustainability concerns associated with Gen AI, particularly its high energy consumption and environmental impact. Ultimately, the article argues for developing a comprehensive, industry-wide governance framework that balances technological advancement with legal certainty, ethical responsibility, and long-term environmental sustainability.