AI素养与接受度悖论
The Paradox of AI Literacy and Acceptance
HBR 2025 Nov-Dec p24 | Research Title: "Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity" | Authors: Stephanie M. Tully, Chiara Longoni, and Gil Appel | Journal: Journal of Marketing
研究发现,对人工智能(AI)了解越少的人,反而越愿意尝试使用AI产品和服务。
Research has found that individuals with less understanding of artificial intelligence (AI) are more willing to try using AI products and services.
核心研究结论
Core Research Conclusions
AI素养悖论:与传统认知相反,技术知识较少的人对AI的接受度更高。
The AI Literacy Paradox: Contrary to traditional beliefs, individuals with less technical knowledge have a higher acceptance of AI.
研究概况
Research Overview
  • 涉及数千名美国参与者
  • 包含七项独立研究
  • 发表在《Journal of Marketing》期刊
  • Involving thousands of participants from the United States
  • Consisting of seven independent studies
  • Published in the Journal of Marketing
关键实验发现
Key Experimental Findings
大学生AI使用意愿研究
Study on College Students' Willingness to Use AI
参与者 Participants
234名本科生
234 undergraduate students
方法 Method
先进行AI素养测试,然后询问AI工具使用意愿
First conducting an AI literacy test, then asking about willingness to use AI tools
使用场景 Usage Scenarios
完成作业(生成想法、撰写初稿、完成整个作业)
Completing assignments (generating ideas, writing drafts, completing entire assignments)
情感与认知因素分析
Analysis of Emotional and Cognitive Factors
后续实验探讨了AI素养与以下因素的关系:
Subsequent experiments explored the relationship between AI literacy and the following factors:
悖论解释:AI的"魔力效应"
Paradox Explanation: The "Magic Effect" of AI
"AI的'魔力'特质——能够凭空生成高度精致、详细内容的能力——激发了低素养者的使用兴趣。"
"The 'magical' quality of AI—the ability to generate highly refined and detailed content from thin air—stimulates the interest of those with low literacy."
关键机制
Key Mechanisms
神奇感驱动
低AI素养者更容易被AI的产出效果所震撼
Driven by a Sense of Wonder: Individuals with low AI literacy are more easily impressed by the output of AI
表面吸引力
高度抛光的输出内容掩盖了对技术局限性的认知
Surface Appeal: Highly polished output content obscures awareness of technological limitations
认知简化
将复杂技术简化为"魔法"工具
Cognitive Simplification: Simplifying complex technology into a "magical" tool
对技术采纳理论的挑战
Challenge to Technology Adoption Theory
传统假设
Traditional Assumption
更多教育 → 更高采纳率
More education → higher adoption rates
研究发现
Research Findings
随着AI知识的增长,对AI产品和服务的兴趣可能减弱
As knowledge of AI increases, interest in AI products and services may diminish
理论意义
Theoretical Significance
  • 挑战了技术采纳的核心假设
  • 揭示了知识增长与采纳意愿之间的负相关关系
  • 强调了情感因素在技术接受中的重要作用
  • Challenges the core assumptions of technology adoption
  • Reveals a negative correlation between knowledge growth and willingness to adopt
  • Emphasizes the important role of emotional factors in technology acceptance
研究作者与出处
Authors and Source of the Research
研究标题 Research Title
"Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity"
作者 Authors
Stephanie M. Tully, Chiara Longoni, 和 Gil Appel
Stephanie M. Tully, Chiara Longoni, and Gil Appel
发表期刊 Published Journal
《Journal of Marketing》
Journal of Marketing
参考来源 Reference Source
HBR 2025 Nov-Dec p24
精选于《哈佛商业评论》 Featured in Harvard Business Review