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The data revolution continues to transform every sector of science, industryand government. Due to the incredible impact of data-driven technology onsociety, we are becoming increasingly aware of the imperative to use data andalgorithms responsibly -- in accordance with laws and ethical norms. In thisarticle we discuss three recent regulatory frameworks: the European Union'sGeneral Data Protection Regulation (GDPR), the New York City AutomatedDecisions Systems (ADS) Law, and the Net Neutrality principle, that aim toprotect the rights of individuals who are impacted by data collection andanalysis. These frameworks are prominent examples of a global trend:Governments are starting to recognize the need to regulate data-drivenalgorithmic technology.  Our goal in this paper is to bring these regulatory frameworks to theattention of the data management community, and to underscore the technicalchallenges they raise and which we, as a community, are well-equipped toaddress. The main take-away of this article is that legal and ethical normscannot be incorporated into data-driven systems as an afterthought. Rather, wemust think in terms of responsibility by design, viewing it as a systemsrequirement.

Transparency, Fairness, Data Protection, Neutrality: Data Management Challenges in the Face of New Regulation