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Annual International Symposium on Information Management and Big Data

SIMBig 2018: Information Management and Big Data pp 320–327Cite as

Ethical and Socially-Aware Data Labels

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 898))

Abstract

Many software systems today make use of large amount of personal data to make recommendations or decisions that affect our daily lives. These software systems generally operate without guarantees of non-discriminatory practices, as instead often required to human decision-makers, and therefore are attracting increasing scrutiny. Our research is focused on the specific problem of biased software-based decisions caused from biased input data. In this regard, we propose a data labeling framework based on the identification of measurable data characteristics that could lead to downstream discriminating effects. We test the proposed framework on a real dataset, which allowed us to detect risks of discrimination for the case of population groups.

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Notes

  1. 1.

    https://bit.ly/2Hoa2q7.

  2. 2.

    See https://bit.ly/1XMKh5R.

  3. 3.

    See https://datanutrition.media.mit.edu.

  4. 4.

    See https://en.wikipedia.org/wiki/Garbage_in,_garbage_out.

  5. 5.

    For the definitions of inherent quality measures see [10].

  6. 6.

    https://www.kaggle.com/uciml/default-of-credit-card-clients-dataset.

  7. 7.

    See https://bit.ly/2NyNVPx.

  8. 8.

    Details on how to compute each metric can be retrieved from [10].

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Author information

Authors and Affiliations

  1. Nexa Center for Internet and Society, DAUIN, Politecnico di Torino, Turin, Italy

    Elena Beretta, Antonio Vetrò & Juan Carlos De Martin

  2. Future Urban Legacy Lab, Politecnico di Torino, Turin, Italy

    Antonio Vetrò

  3. Fondazione Bruno Kessler, Trento, Italy

    Elena Beretta & Bruno Lepri

Authors
  1. Elena Beretta
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  2. Antonio Vetrò
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  3. Bruno Lepri
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  4. Juan Carlos De Martin
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Corresponding author

Correspondence to Elena Beretta .

Editor information

Editors and Affiliations

  1. Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA

    Juan Antonio Lossio-Ventura

  2. Fondazione Bruno Kessler, Trento, Italy

    Denisse Muñante

  3. Facultad de Ingeniería, University of the Pacific, Jesús María, Lima, Peru

    Hugo Alatrista-Salas

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Beretta, E., Vetrò, A., Lepri, B., De Martin, J.C. (2019). Ethical and Socially-Aware Data Labels. In: Lossio-Ventura, J., Muñante, D., Alatrista-Salas, H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham. https://doi.org/10.1007/978-3-030-11680-4_30

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  • DOI: https://doi.org/10.1007/978-3-030-11680-4_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11679-8

  • Online ISBN: 978-3-030-11680-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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