Leveraging AI for sustainability in the fashion industry

: anticipated and unanticipated consequences

Abstract

In the context of sustainable development, the fashion industry faces the challenge of aligning its practices with environmental and ethical standards. This thesis explores the potential of Artificial Intelligence as a transformative tool for achieving sustainability in this sector. The research focuses primarily on understanding how AI can contribute to sustainable fashion, while critically examining the unintended consequences of AI implementation. This exploration is based on two key research questions: ‘What consequences, challenges, or risks may arise from the application of AI in the context of sustainable fashion?’ and ‘How can we use existing AI tools and technologies more responsibly?’. It applies a qualitative research approach, conducting an in-depth analysis of interviews with industry experts, coupled with a comprehensive review of relevant literature. The findings highlight the dual role of AI in sustainable fashion. While it can bring significant benefits in terms of reducing textile waste and increasing supply chain transparency, it also poses challenges that require careful consideration. The research concludes that a balanced approach is needed to successfully integrate AI sustainably, taking into account both its benefits and potential drawbacks. This thesis contributes to a better understanding of the role of digital technology in sustainable fashion by providing a nuanced perspective on the impact of AI and guiding principles for its responsible application in the industry.

Date of Award	26 Jan 2024
Original language	English
Awarding Institution	Universidade Católica Portuguesa
Supervisor	René Bohnsack (Supervisor)