Algorithmic decision-making is replacing idiosyncratic human judgment in domains such as hiring, lending, and criminal justice. This shift promises increased consistency, but many scholars worry that it can go too far. They warn of the dangers of algorithmic monoculture, in which all decisions across a domain are made using a single algorithm. We systematically evaluate a range of objections to monoculture, formalizing and rigorously assessing familiar critiques alongside novel ones. These objections concern systematic exclusion, agency and gaming, and information aggregation and exploration. We conclude that monoculture is less problematic than its critics have supposed: commonly cited objections fail, and while other objections have some force, they are not decisive against monoculture in general.

翻译：算法决策正在取代招聘、贷款和刑事司法等领域中因人而异的判断。这一转变有望提升决策一致性，但许多学者担忧这可能走向极端。他们警告算法单一文化的风险——即某一领域的所有决策均依赖单一算法制定。我们系统评估了对单一文化的一系列反对意见，将常见批评与新颖论点形式化并严格分析。这些反对意见涉及系统性排斥、主体性与博弈行为，以及信息聚合与探索。我们的结论是：单一文化的问题比批评者所设想的更小——常见反对意见站不住脚，而其他反对意见虽有一定说服力，但总体上并不构成对单一文化的决定性否定。