0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Policy & Risk Sign in to save

AI, Fashion, and Climate Conscious Consumers Promoting Sustainable Consumption Through Intelligent System

Advances in computational intelligence and robotics book series 2026 Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Muhammad Ramdani, Ahmad Maulana Ulumuddin, Binastya Anggara Sekti

Summary

This research review explains how artificial intelligence (AI) could help reduce fashion's harmful impact on the environment, including cutting down on microplastic pollution that can affect human health. AI tools can help shoppers make better choices by showing which clothes are made sustainably and last longer, potentially reducing the tiny plastic fibers that shed from synthetic clothes into water and air. However, the authors warn that AI must be used responsibly to truly help the environment rather than just appearing to do so.

This chapter explores the transformative role of Artificial Intelligence (AI) in addressing the environmental and social challenges of the global fashion industry. It outlines the significant ecological footprint of fast fashion, including excessive water use, carbon emissions, and microplastic pollution. By integrating AI with digital tools such as blockchain, digital wardrobes, and smart labels, fashion brands can enhance transparency, traceability, and sustainability. The chapter further discusses how AI-driven personalization, recommendation systems, and sentiment analysis empower climate-conscious consumers to make informed ethical choices. While AI presents opportunities for circular fashion and real-time behavioral insights, it also introduces risks related to privacy, algorithmic bias, and greenwashing. Through an ethical lens, this chapter emphasizes the need for inclusive governance, data transparency, and responsible design in deploying AI for sustainable fashion transformation.

Sign in to start a discussion.

More Papers Like This

Review Tier 2

Artificial intelligence and sustainability in the fashion industry: a review from 2010 to 2022

This review examines how artificial intelligence technologies have been applied to sustainability challenges in the fashion industry from 2010 to 2022. Researchers found that AI tools show promise for addressing issues like textile waste, supply chain inefficiency, and pollution, though broader adoption is needed to meaningfully advance the industry's sustainability goals.

Article Tier 2

Fashion, Sustainability, and the Anthropocene

This review examines the environmental impact of clothing consumption in the context of the Anthropocene, discussing emerging sustainable materials and circular economic models against the broader historical backdrop of human-environment interactions in the fashion industry.

Article Tier 2

SUSTAINABLE FASHION INDUSTRY: Why do we need a switch towards conscious consumption?

This thesis examines the fashion industry's environmental and social harms, including its significant contribution to microplastic pollution through synthetic textile washing, and argues for a shift toward more conscious consumer behavior. Fast fashion is one of the largest sources of synthetic microfibers entering waterways globally.

Article Tier 2

The Role of Artificial Intelligence in Microplastic Pollution Studies and Management

This review explores how artificial intelligence is transforming microplastic research, from automating detection in microscopy images and spectral analysis to predicting how plastics interact with pollutants and living organisms. AI-powered sensors and real-time monitoring systems are also being integrated into wastewater treatment to reduce microplastic release, making the technology a powerful tool for both understanding and managing plastic pollution.

Article Tier 2

Learning from Nature to Achieve Material Sustainability: Generative AI for Rigorous Bio-inspired Materials Design

This review explores how artificial intelligence can help design sustainable bio-inspired materials that could replace conventional plastics. By learning from nature's degradable materials, AI tools could help develop alternatives that do not persist in the environment as microplastics. While not a direct health study, this research addresses a root cause of microplastic pollution by working toward materials that break down safely in natural ecosystems.

Share this paper