自治
选择架构
行为科学
代理(哲学)
Boosting(机器学习)
心理学
行为经济学
选择自由
社会心理学
公共政策
公共关系
社会学
政治学
计算机科学
社会科学
经济
法学
心理治疗师
财务
机器学习
作者
Stefan M. Herzog,Ralph Hertwig
出处
期刊:Annual Review of Psychology
[Annual Reviews]
日期:2024-10-16
标识
DOI:10.1146/annurev-psych-020924-124753
摘要
Behavioral public policy came to the fore with the introduction of nudging, which aims to steer behavior while maintaining freedom of choice. Responding to critiques of nudging (e.g., that it does not promote agency and relies on benevolent choice architects), other behavioral policy approaches focus on empowering citizens. Here we review boosting, a behavioral policy approach that aims to foster people's agency, self-control, and ability to make informed decisions. It is grounded in evidence from behavioral science showing that human decision making is not as notoriously flawed as the nudging approach assumes. We argue that addressing the challenges of our time—such as climate change, pandemics, and the threats to liberal democracies and human autonomy posed by digital technologies and choice architectures—calls for fostering capable and engaged citizens as a first line of response to complement slower, systemic approaches.
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