用互动模拟训练用户像科学家一样思考AI的偏见与公平问题。
Thinking Like a Scientist: Can Interactive Simulations Foster Critical AI Literacy?
- 通过可操作的模拟实验，让用户主动测试假设、观察AI行为。
- 605人实验证明互动教学显著提升对偏见、数据代表性的理解。
- 适合教育者、政策制定者及想深度理解AI的普通公众。
随着AI系统影响个人与社会决策，培养批判性AI素养至关重要。传统方法如博客文章、静态课程和社交媒体讨论常难以支持深层概念理解与批判性参与。本研究检验互动模拟能否帮助学习者像科学家一样思考：通过假设检验、实验设计与直接观察AI行为。在605名参与者中，评估互动式AI教程对公平性、数据代表性与语言模型偏见等关键概念的学习效果。结果表明，互动模拟有效提升多主题的AI素养，促进知识迁移与自我信心，但参与度本身不预测学习成效。该研究为AI素养教育提供新路径，强调基于探究的互动方法能更好赋能个体在日常生活中批判性地应对AI。
原文摘要 · Abstract (English)
As AI systems shape individual and societal decisions, fostering critical AI literacy is essential. Traditional approaches, such as blog articles, static lessons, and social media discussions, often fail to support deep conceptual understanding and critical engagement. This study examines whether interactive simulations can help learners think like a scientist by engaging them in hypothesis testing, experimentation, and direct observation of AI behavior. In a controlled study with 605 participants, we assess how interactive AI tutorials impact learning of key concepts such as fairness, dataset representativeness, and bias in language models. Results show that interactive simulations effectively enhance AI literacy across topics, supporting greater knowledge transfer and self-reported confidence, though engagement alone does not predict learning. This work contributes to the growing field of AI literacy education, highlighting how interactive, inquiry-driven methodologies can better equip individuals to critically engage with AI in their daily lives.
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