Data, responsibly: Fairness, neutrality and transparency in data analysis

Julia Stoyanovich, Serge Abiteboul, Gerome Miklau

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Big data technology holds incredible promise of improving people's lives, accelerating scientific discovery and innovation, and bringing about positive societal change. Yet, if not used responsibly, this technology can propel economic inequality, destabilize global markets and affirm systemic bias. While the potential benefits of big data are well-accepted, the importance of using these techniques in a fair and transparent manner is rarely considered. The primary goal of this tutorial is to draw the attention of the data management community to the important emerging subject of responsible data management and analysis. We will offer our perspective on the issue, will give an overview of existing technical work, primarily from the data mining and algorithms communities, and will motivate future research directions.

    Original languageEnglish (US)
    Title of host publicationAdvances in Database Technology - EDBT 2016
    Subtitle of host publication19th International Conference on Extending Database Technology, Proceedings
    EditorsIoana Manolescu, Evaggelia Pitoura, Amelie Marian, Sofian Maabout, Letizia Tanca, Georgia Koutrika, Kostas Stefanidis
    PublisherOpenProceedings.org
    Pages718-719
    Number of pages2
    ISBN (Electronic)9783893180707
    DOIs
    StatePublished - 2016
    Event19th International Conference on Extending Database Technology, EDBT 2016 - Bordeaux, France
    Duration: Mar 15 2016Mar 18 2016

    Publication series

    NameAdvances in Database Technology - EDBT
    Volume2016-March
    ISSN (Electronic)2367-2005

    Other

    Other19th International Conference on Extending Database Technology, EDBT 2016
    Country/TerritoryFrance
    CityBordeaux
    Period3/15/163/18/16

    ASJC Scopus subject areas

    • Information Systems
    • Software
    • Computer Science Applications

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