The responsibility challenge for data

H. V. Jagadish, Lise Getoor, Francesco Bonchi, Krishna Gummadi, Tina Eliassi-Rad, Julia Stoyanovich

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


    As data science and artificial intelligence become ubiquitous, they have an increasing impact on society. While many of these impacts are beneficial, others may not be. So understanding and managing these impacts is required of every responsible data scientist. Nevertheless, most human decision-makers use algorithms for efficiency purposes and not to make a better (i.e., fairer) decisions. Even the task of risk assessment in the criminal justice system enables efficiency instead of (and often at the expense of) fairness. So we need to frame the problem with fairness, and other societal impacts, as primary objectives.

    Original languageEnglish (US)
    Title of host publicationSIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data
    PublisherAssociation for Computing Machinery
    Number of pages3
    ISBN (Electronic)9781450356435
    StatePublished - Jun 25 2019
    Event2019 International Conference on Management of Data, SIGMOD 2019 - Amsterdam, Netherlands
    Duration: Jun 30 2019Jul 5 2019

    Publication series

    NameProceedings of the ACM SIGMOD International Conference on Management of Data
    ISSN (Print)0730-8078


    Conference2019 International Conference on Management of Data, SIGMOD 2019

    ASJC Scopus subject areas

    • Software
    • Information Systems


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