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AI, Fashion, and Climate Conscious Consumers Promoting Sustainable Consumption Through Intelligent System
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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.
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The Role of Artificial Intelligence in Microplastic Pollution Studies and Management
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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.
AI-driven marketing and sustainability: from intelligent persuasion to responsible market transformation
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This paper doesn't report new experiments—it lays out a research agenda arguing that AI in marketing (like the algorithms that recommend products or personalize ads) should be studied not just for boosting sales, but for its power to help—or hurt—efforts against pollution, waste, and overproduction. It matters because the same AI tools shaping what you buy could either encourage more mindless consumption (including plastic-heavy products tied to environmental and health concerns) or be redesigned to nudge people and companies toward more sustainable, less wasteful choices.
Advancing environmental sustainability through emerging AI-based monitoring and mitigation strategies for microplastic pollution in aquatic ecosystems
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This review explores how artificial intelligence technologies, including machine learning, computer vision, and remote sensing, can improve the detection, tracking, and removal of microplastic pollution in waterways. Researchers found that AI-based approaches offer significant advantages over traditional monitoring methods for identifying microplastic distribution patterns. The study highlights the potential of AI-driven robotic systems to support more efficient and scalable environmental cleanup efforts.
AI‐Driven Technologies in Mitigation of Microplastic Pollution
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Researchers reviewed how AI-assisted detection methods address the accuracy, efficiency, and cost limitations of traditional microplastic identification, while also surveying how artificial intelligence is being applied to model and mitigate microplastic impacts on marine ecosystems and human health including metabolic and respiratory effects.
A Plan to Secure Environmental Sustainability Through Digital Transformation of the Fashion Industry: Focusing on Fashion Design and Smartization of the Manufacturing Process
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This study examines how digital transformation and smart manufacturing technologies in the fashion industry can reduce environmental pollution, proposing a framework for integrating digital design tools and process optimization to improve sustainability across the fashion clothing supply chain.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.