Stoyanovich et al. propose that the data management community must play an active role in ensuring the responsible design, development, and oversight of Automated Decision Systems (ADS), which rely on algorithms to perform or assist in decision-making and are widely used in the public and private sectors. Although the data management community typically focuses on efficiency and accuracy objectives when creating new systems, the authors contend that researchers must start reasoning about beliefs and values. They consider the example of automated hiring tools and summarize the current social and technical context of ADS, including forms of bias, proposed solutions to enforcing fairness, and the need for interpretability to create space for due process. Finally, they emphasize that responsibility cannot be fully automated and that systems need to be designed with the understanding that accountability will ultimately rest with a human.