Responsibility and Accountability in an Algorithmic Society

Abstract This paper articulates the importance of distinguishing responsibility practices from accountability frameworks for the design, development, and deployment of algorithmic decision-making systems. Accountability frameworks are organized social systems associated with particular groups or institutions that employ rule-governed practices to incentivize or sanction specific behaviors. In contrast, responsibility practices concern our everyday notions of praise and blame, which vary across different contexts and institutions. There is widespread recognition that algorithmic decision-making systems raise special questions about how to attribute moral responsibility and hold individuals accountable. However, scholars often overlook the importance of distinguishing these things. We argue for the value of recognizing that accountability practices and responsibility practices are distinct. Moreover, we argue that accountability frameworks can offer morally important benefits that cannot be obtained through ordinary moral responsibility practices. That is, there are often good moral reasons for organizations to implement accountability practices in their internal rules. This justifies some current practices, but also provides an argument for the value of developing and implementing accountability practices within an organization.