The present study pays particular attention to issues of originality, intellectual property, and po-tential biases in machine learning models. European legislation on AI, along with various legisla-tive acts that have followed this initial attempt at regulation, is examined as an essential refe-rence point for initiating a technologically responsible and sustainable prospective discussion. The article analyzes two main perspectives: the risks of uncontrolled AI growth, with emphasis on the damage to the conceptualization of technological primacy over human cognition, and the opportunities for harmonization between human and AI. These themes are contextualized in relation to technological development, regulatory policies, consumer trends, and social values.Keywords: Artificial Intelligence (AI), Fashion and Technology, Ethical Challenges in AI,, Intel-lectual Property, Regulation of AIIntroductionThe evolution of artificial intelligence (AI) is radically transforming various sectors, including the field of fashion, traditionally guided by human creativity and sensitivity. A crucial aspect of this transformation is the use of large datasets, which also presents significant challenges, particular-ly regarding data privacy and security, as discussed by Zheng et al. (2020). The first section opens with a discussion on ethical challenges related to the use of large datasets, addressing issues such as data bias and the need for increased transparency and explainability of decisions made by AI. The second section shifts focus to the analysis of European AI regulations and the impact of legislative acts on AI regulation in the fashion industry. This leads to a discussion of two contrasting perspectives in the third section: the risks associated with uncontrolled AI growth and the opportunities offered by harmonization between humans and AI. Finally, the relationship between technological develop-ment, regulatory policies, consumer trends, and social values will be explored to better understand how these aspects influence the evolution of AI in the world of fashion.Ethical Challenges of Using Large DatasetsIn this section dedicated to the ethical challenges associated with the use of large datasets in the field of artificial intelligence (AI) in the fashion industry, we will address three crucial issues: formative bias, the challenge of explainability, and the need
Niccolò Musmeci (Sun,) studied this question.