论文标题
认识到偏好变化的重要性：呼吁在AI时代进行协调的多学科研究工作
Recognising the importance of preference change: A call for a coordinated multidisciplinary research effort in the age of AI
论文作者
论文摘要
随着人工智能在日常生活中变得越来越强大和无处不在的存在，必须了解和管理AI系统对我们生活和决策的影响。现代ML系统通常会改变用户行为（例如，个性化的推荐系统学习用户偏好以提供改变在线行为的建议）。行为改变的外部性是偏好变化。本文主张建立多学科的努力，重点是了解AI系统如何改变偏好：偏好科学。我们将偏好运行以纳入来自各个学科的概念，概述元优先和偏好变化偏好的重要性，并为偏好如何变化提出初步框架。我们在偏好变化，允许的偏好变化和彻底的偏好操纵之间进行区分。各种各样的学科为该框架提供了独特的见解。
As artificial intelligence becomes more powerful and a ubiquitous presence in daily life, it is imperative to understand and manage the impact of AI systems on our lives and decisions. Modern ML systems often change user behavior (e.g. personalized recommender systems learn user preferences to deliver recommendations that change online behavior). An externality of behavior change is preference change. This article argues for the establishment of a multidisciplinary endeavor focused on understanding how AI systems change preference: Preference Science. We operationalize preference to incorporate concepts from various disciplines, outlining the importance of meta-preferences and preference-change preferences, and proposing a preliminary framework for how preferences change. We draw a distinction between preference change, permissible preference change, and outright preference manipulation. A diversity of disciplines contribute unique insights to this framework.
