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
    Volume2016-March
    ISBN (Electronic)9783893180707
    DOIs
    StatePublished - Jan 1 2016
    Event19th International Conference on Extending Database Technology, EDBT 2016 - Bordeaux, France
    Duration: Mar 15 2016Mar 18 2016

    Other

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

    Fingerprint

    Transparency
    Information management
    Data mining
    Innovation
    Economics
    Big data

    ASJC Scopus subject areas

    • Information Systems
    • Software
    • Computer Science Applications

    Cite this

    Stoyanovich, J., Abiteboul, S., & Miklau, G. (2016). Data, responsibly: Fairness, neutrality and transparency in data analysis. In I. Manolescu, E. Pitoura, A. Marian, S. Maabout, L. Tanca, G. Koutrika, & K. Stefanidis (Eds.), Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings (Vol. 2016-March, pp. 718-719). OpenProceedings.org. https://doi.org/10.5441/002/edbt.2016.103

    Data, responsibly : Fairness, neutrality and transparency in data analysis. / Stoyanovich, Julia; Abiteboul, Serge; Miklau, Gerome.

    Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. ed. / Ioana Manolescu; Evaggelia Pitoura; Amelie Marian; Sofian Maabout; Letizia Tanca; Georgia Koutrika; Kostas Stefanidis. Vol. 2016-March OpenProceedings.org, 2016. p. 718-719.

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

    Stoyanovich, J, Abiteboul, S & Miklau, G 2016, Data, responsibly: Fairness, neutrality and transparency in data analysis. in I Manolescu, E Pitoura, A Marian, S Maabout, L Tanca, G Koutrika & K Stefanidis (eds), Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. vol. 2016-March, OpenProceedings.org, pp. 718-719, 19th International Conference on Extending Database Technology, EDBT 2016, Bordeaux, France, 3/15/16. https://doi.org/10.5441/002/edbt.2016.103
    Stoyanovich J, Abiteboul S, Miklau G. Data, responsibly: Fairness, neutrality and transparency in data analysis. In Manolescu I, Pitoura E, Marian A, Maabout S, Tanca L, Koutrika G, Stefanidis K, editors, Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. Vol. 2016-March. OpenProceedings.org. 2016. p. 718-719 https://doi.org/10.5441/002/edbt.2016.103
    Stoyanovich, Julia ; Abiteboul, Serge ; Miklau, Gerome. / Data, responsibly : Fairness, neutrality and transparency in data analysis. Advances in Database Technology - EDBT 2016: 19th International Conference on Extending Database Technology, Proceedings. editor / Ioana Manolescu ; Evaggelia Pitoura ; Amelie Marian ; Sofian Maabout ; Letizia Tanca ; Georgia Koutrika ; Kostas Stefanidis. Vol. 2016-March OpenProceedings.org, 2016. pp. 718-719
    @inproceedings{3abacd5a67b449a68995481a66fe840a,
    title = "Data, responsibly: Fairness, neutrality and transparency in data analysis",
    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.",
    author = "Julia Stoyanovich and Serge Abiteboul and Gerome Miklau",
    year = "2016",
    month = "1",
    day = "1",
    doi = "10.5441/002/edbt.2016.103",
    language = "English (US)",
    volume = "2016-March",
    pages = "718--719",
    editor = "Ioana Manolescu and Evaggelia Pitoura and Amelie Marian and Sofian Maabout and Letizia Tanca and Georgia Koutrika and Kostas Stefanidis",
    booktitle = "Advances in Database Technology - EDBT 2016",
    publisher = "OpenProceedings.org",

    }

    TY - GEN

    T1 - Data, responsibly

    T2 - Fairness, neutrality and transparency in data analysis

    AU - Stoyanovich, Julia

    AU - Abiteboul, Serge

    AU - Miklau, Gerome

    PY - 2016/1/1

    Y1 - 2016/1/1

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=85019848008&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85019848008&partnerID=8YFLogxK

    U2 - 10.5441/002/edbt.2016.103

    DO - 10.5441/002/edbt.2016.103

    M3 - Conference contribution

    VL - 2016-March

    SP - 718

    EP - 719

    BT - Advances in Database Technology - EDBT 2016

    A2 - Manolescu, Ioana

    A2 - Pitoura, Evaggelia

    A2 - Marian, Amelie

    A2 - Maabout, Sofian

    A2 - Tanca, Letizia

    A2 - Koutrika, Georgia

    A2 - Stefanidis, Kostas

    PB - OpenProceedings.org

    ER -