Artificial Intelligence-Driven Materiality: A Systematic Review and Perspective
Abstract
Artificial intelligence (AI) and materiality are increasingly interdisciplinary domains of inquiry, fostering innovative research across fields for our society, such as engineering, philosophy, the arts, and sustainability. However, the review of such integrated aspects was not presented. This review examines existing literature and offers perspectives on the complex interdisciplinary themes between AI and materiality, including epistemic materiality, sociomateriality, creativity and design, and sustainable development. A systematic review of 60 recent articles was performed, following the population, intervention, comparison, and outcome (PICO) and preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The qualitative analysis of their keywords was also articulated. AI revolutionizes knowledge generation, enhances creative processes, and improves resource efficiency, offering opportunities for innovation while introducing ethical challenges such as algorithmic bias, accountability, and transparency. Also, AI profoundly affects epistemic and agential materiality, transforming knowledge creation, creative methodologies, and sustainable development initiatives. The paper highlights the implications and challenges, such as ethical concerns and technology-shifting barriers, as well as opportunities in integrating AI with material systems, ameliorating a smart and sustainable roadmap for future interdisciplinary research.