Transparency, fairness, data protection, neutrality: Data management challenges in the face of new regulation

Serge Abiteboul, Julia Stoyanovich

    Research output: Contribution to journalArticlepeer-review


    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, which 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 article is to bring these regulatory frameworks to the attention of the data management community and to underscore the technical challenges they raise and that we, as a community, are wellequipped to address. The main takeaway 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.

    Original languageEnglish (US)
    Article number15
    JournalJournal of Data and Information Quality
    Issue number3
    StatePublished - Jul 2019


    • Data protection
    • Fairness
    • Neutrality
    • Responsible data science
    • Transparency

    ASJC Scopus subject areas

    • Information Systems
    • Information Systems and Management


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