Abstract:
This study delves into the burgeoning domain of Generative Artificial Intelligence (GAI) within the context of Industry 5.0 (I-5.0), highlighting the pivotal role of advanced GAI models such as ChatGPT and DALL-E in transforming manufacturing and industrial processes. The paper scrutinizes the multifaceted use-cases of GAI, emphasizing its instrumental function in amplifying operational efficiency, minimizing downtime, and fostering economic savings through predictive maintenance and acute real-time data analytics. With a focus on the digital transformation era, the research elaborates on the substantial opportunities GAI presents for enterprises to refine their production methodologies, enhance supply chain management, and elevate consumer interactions, thereby driving growth and innovation in the digital landscape. Addressing the full potential of GAI within I-5.0, the paper also engages with the imperative to carefully assess the ethical and technical conundrums that emerge, particularly within the sensitive framework of I-5.0. Ethical challenges, including issues of privacy and the necessity for unbiased AI-driven decisions, are explored, alongside technical obstacles such as data fragmentation and the safeguarding of sensitive information. Through a detailed examination of several GAI applications in I-5.0 and an analysis of real-world products integrating GAI, the research sheds light on the real-time benefits and limitations encountered. This paper aims to provide a comprehensive overview of GAI’s transformative impact on I-5.0 and to foster a discourse on ensuring a sustainable and ethically conscious integration of these technologies in manufacturing and beyond.