从货比三家到AI代劳：一场静悄悄的“认知绑架”

Group 1 - The core viewpoint of the articles highlights a significant shift in consumer behavior from active exploration in traditional e-commerce to passive reliance on AI for decision-making, leading to a potential "cognitive captivity" [1][2][4] - AI-driven e-commerce focuses on strong demand orientation, utilizing algorithms to analyze vast amounts of consumer data, which can create a sense of urgency and manipulate perceptions of value through tactics like price anchoring and scarcity [2][3] - The AI recommendation engines operate as "black boxes," where consumers cannot discern whether the recommendations are based on product quality or commercial interests, raising concerns about transparency and potential biases in AI-generated suggestions [3][4] Group 2 - The phenomenon of "AI hallucination" occurs when AI inaccurately recommends non-existent products, highlighting the limitations of AI technology and the risks it poses to consumers [4] - Over-personalization by AI can lead to a narrowing of consumer preferences, creating isolated experiences where users are trapped in their own data bubbles, limiting exposure to new and diverse options [4][5] - Consumers are encouraged to maintain critical thinking and cross-verify AI recommendations by consulting multiple AI tools and challenging the AI's suggestions to ensure a more comprehensive understanding of available options [4][5]