Algorithmic Nudging for Eco-Friendly Fashion

This chapter examines how algorithmic nudging may inspire environmentally friendly decisions within the fashion sector, particularly if it's conducted in ethical and sustainable manners. It applies concepts from behavioral economics, consumer psychology, and AI ethics to develop a comprehensive framework for designing, testing, and applying AI-driven nudges on internet shopping websites. The chapter outlines several nudges, including default options, social proof, visual cues, and immediate feedback, and discusses them theoretically as well as in real-world examples. It also explores issues like greenwashing, trust, and discriminatory AI bias and calls for strong rules, transparency, and fairness. The article suggests potential future steps such as the use of generative AI, emotion detection technology, and industry standardization to support ethical innovation. It argues that if used in a neutral and reflected way, algorithmic nudging could be a powerful tool for influencing green fashion choices without unconstraining user liberty or trust.