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Consumer Redress's Impossible Triangle and AI's Transformative Power
Abstract
This article examines the “Impossible Triangle” in consumer redress—the seemingly irreconcilable tension between legal validity, economic efficiency, and accessibility. Through analysis of empirical evidence from the EU and US, the authors demonstrate how traditional approaches force trade-offs between these crucial elements. While previous technological solutions merely digitized existing processes, the authors argue that artificial intelligence represents a paradigm shift in consumer protection, potentially transcending historical limitations through its unique processing capabilities. However, AI implementation introduces new challenges around algorithmic transparency, bias, and regulatory oversight. Drawing on recent developments and emerging research, the authors explore how AI might transform rather than simply optimize the Impossible Triangle, creating new imperatives for oversight and accountability. This analysis advances both theoretical understanding of systematic failures in consumer protection and frameworks for implementing AI-enabled redress systems.
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