论文标题
尊重推荐系统中的人类自主权
Respect for Human Autonomy in Recommender Systems
论文作者
论文摘要
推荐系统可以以重要的方式影响人类的行为，在某些情况下使人们更像机器。从这个意义上讲，推荐系统可能对人类自治的概念有害。许多道德体系指出，尊重人类自治是由人权考虑引起的关键原则，而AI的几个新兴框架包括此原则。但是，尚未定义具体的形式化。另外，自决理论表明，自主是对人的天生心理需求，此外，具有大量的实验性工作，可以正式和衡量人类自治的水平。在该立场论文中，我们认为有必要在推荐系统的背景下专门实施对人类自主权的尊重。此外，可以根据实验心理学的良好方法来开发这种操作定义，然后可以将其用于设计尊重人类自治的未来推荐系统。
Recommender systems can influence human behavior in significant ways, in some cases making people more machine-like. In this sense, recommender systems may be deleterious to notions of human autonomy. Many ethical systems point to respect for human autonomy as a key principle arising from human rights considerations, and several emerging frameworks for AI include this principle. Yet, no specific formalization has been defined. Separately, self-determination theory shows that autonomy is an innate psychological need for people, and moreover has a significant body of experimental work that formalizes and measures level of human autonomy. In this position paper, we argue that there is a need to specifically operationalize respect for human autonomy in the context of recommender systems. Moreover, that such an operational definition can be developed based on well-established approaches from experimental psychology, which can then be used to design future recommender systems that respect human autonomy.
