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

TL;DR

This paper discusses recent data regulation frameworks like GDPR, NYC ADS Law, and Net Neutrality, highlighting their technical challenges and emphasizing the need for responsibility by design in data management systems.

Contribution

It brings attention to new regulatory frameworks and underscores the importance of integrating legal and ethical norms into data systems from the outset.

Findings

Regulatory frameworks impose new technical challenges for data management.

Responsibility by design is essential for compliant data systems.

Data management community is well-equipped to address these challenges.

Abstract

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.