Model-based discrimination analysis: A position paper

Qusai Ramadan; A.S. Ahmadian; D. Strüber; J. Jürjens; S. Staab

doi:10.1145/3194770.3194775

Model-based discrimination analysis: A position paper

Qusai Ramadan^*, A.S. Ahmadian, D. Strüber, J. Jürjens, S. Staab

^*Kontaktforfatter

University of Koblenz

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

Abstract

Decision-making software may exhibit biases due to hidden dependencies between protected characteristics and the data used as input for making decisions. To uncover such dependencies, we propose the development of a framework to support discrimination analysis during the system design phase, based on system models and available data.

Originalsprog	Engelsk
Titel	Proceedings - International Conference on Software Engineering
Publikationsdato	29. maj 2018
Sider	22-28
ISBN (Trykt)	02705257
DOI	https://doi.org/10.1145/3194770.3194775
Status	Udgivet - 29. maj 2018
Udgivet eksternt	Ja

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Citationsformater

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title = "Model-based discrimination analysis: A position paper",

abstract = "Decision-making software may exhibit biases due to hidden dependencies between protected characteristics and the data used as input for making decisions. To uncover such dependencies, we propose the development of a framework to support discrimination analysis during the system design phase, based on system models and available data.",

author = "Qusai Ramadan and A.S. Ahmadian and D. Str{\"u}ber and J. J{\"u}rjens and S. Staab",

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AU - Ramadan, Qusai

AU - Ahmadian, A.S.

AU - Strüber, D.

AU - Jürjens, J.

AU - Staab, S.

PY - 2018/5/29

Y1 - 2018/5/29

N2 - Decision-making software may exhibit biases due to hidden dependencies between protected characteristics and the data used as input for making decisions. To uncover such dependencies, we propose the development of a framework to support discrimination analysis during the system design phase, based on system models and available data.

AB - Decision-making software may exhibit biases due to hidden dependencies between protected characteristics and the data used as input for making decisions. To uncover such dependencies, we propose the development of a framework to support discrimination analysis during the system design phase, based on system models and available data.

UR - https://www.scopus.com/pages/publications/85051193815

U2 - 10.1145/3194770.3194775

DO - 10.1145/3194770.3194775

M3 - Article in proceedings

SN - 02705257

SP - 22

EP - 28

BT - Proceedings - International Conference on Software Engineering

ER -

Model-based discrimination analysis: A position paper

Abstract

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SDU link

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