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 systemic 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。这种转变带来了更高的一致性，但许多学者担忧这可能过度发展。他们警告算法单一文化的危险——即某一领域中的所有决策均由单一算法作出。我们系统性地评估了对单一文化的各种反对意见，将常见的批评与新颖的论点进行形式化并严格分析。这些反对意见涉及系统性排斥、能动性与博弈、以及信息聚合与探索。我们得出的结论是：单一文化的问题比批评者所设想的要轻——常见的反对理由不成立，而其他反对意见虽有一定道理，但总体上并不足以否定单一文化。