In 1996, Accountability in a Computerized Society [95] issued a clarion call concerning the erosion of accountability in society due to the ubiquitous delegation of consequential functions to computerized systems. Nissenbaum [95] described four barriers to accountability that computerization presented, which we revisit in relation to the ascendance of data-driven algorithmic systems--i.e., machine learning or artificial intelligence--to uncover new challenges for accountability that these systems present. Nissenbaum's original paper grounded discussion of the barriers in moral philosophy; we bring this analysis together with recent scholarship on relational accountability frameworks and discuss how the barriers present difficulties for instantiating a unified moral, relational framework in practice for data-driven algorithmic systems. We conclude by discussing ways of weakening the barriers in order to do so.

翻译：1996年,计算机化社会中的问责制[95]就计算机化社会问责制因计算机化系统普遍下放相应功能而削弱社会问责制的问题发出了一个警示呼吁,Nissenbaum[95]描述了计算机化给问责制带来的四个障碍,我们在数据驱动的算法系统(即机器学习或人工智能)的上升方面重新审视了这些障碍,以发现这些系统给问责制带来的新挑战。Nissenbaum的原始文件以道德哲学障碍为讨论基础;我们把这一分析与最近关于关系问责框架的奖学金放在一起,并讨论了在数据驱动的算法系统实践中如何难以立即建立一个统一的道德关系框架。我们最后讨论了如何减少障碍,以便这样做。