  The data revolution continues to transform every sector of science, industry
and government. Due to the incredible impact of data-driven technology on
society, we are becoming increasingly aware of the imperative to use data and
algorithms responsibly -- in accordance with laws and ethical norms. In this
article we discuss three recent regulatory frameworks: the European Union's
General Data Protection Regulation (GDPR), the New York City Automated
Decisions Systems (ADS) Law, and the Net Neutrality principle, that aim to
protect the rights of individuals who are impacted by data collection and
analysis. These frameworks are prominent examples of a global trend:
Governments are starting to recognize the need to regulate data-driven
algorithmic technology.
  Our goal in this paper is to bring these regulatory frameworks to the
attention of the data management community, and to underscore the technical
challenges they raise and which we, as a community, are well-equipped to
address. The main take-away of this article is that legal and ethical norms
cannot be incorporated into data-driven systems as an afterthought. Rather, we
must think in terms of responsibility by design, viewing it as a systems
requirement.
