|
When small decisions have big impact: Fairness implications of algorithmic profiling schemes
Kern, Christoph
;
Bach, Ruben L.
;
Mautner, Hannah
;
Kreuter, Frauke
|
Additional URL:
|
https://ceur-ws.org/Vol-3442/paper-36.pdf
|
|
Document Type:
|
Conference or workshop publication
|
|
Year of publication:
|
2023
|
|
Book title:
|
EWAF 2023: European Workshop on Algorithmic Fairness : proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023
|
|
The title of a journal, publication series:
|
CEUR Workshop Proceedings
|
|
Volume:
|
3442
|
|
Page range:
|
1-4
|
|
Conference title:
|
EWAF 2023
|
|
Location of the conference venue:
|
Winterthur, Switzerland
|
|
Date of the conference:
|
07.-09.06.2023
|
|
Publisher:
|
Alvarez, Jose M.
;
Fabris, Alessandro
;
Heitz, Christoh
;
Hertweck, Corinna
;
Loi, Michele
;
Zehlike, Meike
|
|
Place of publication:
|
Aachen, Germany
|
|
Publishing house:
|
RWTH Aachen
|
|
ISSN:
|
1613-0073
|
|
Related URLs:
|
|
|
Publication language:
|
English
|
|
Institution:
|
Außerfakultäre Einrichtungen > Mannheim Centre for European Social Research - Research Department A
|
|
Pre-existing license:
|
 Creative Commons Attribution 4.0 International (CC BY 4.0)
|
|
Subject:
|
310 Statistics
|
|
Abstract:
|
Algorithmic profiling is increasingly used in the public sector with the hope to allocate limited public resources more effectively and objectively. One example is the prediction-based profiling of job seekers to guide the allocation of support measures by public employment services. However, empirical evaluations of unintended discrimination and fairness concerns are rare in this context. We systematically compare and evaluate statistical models for predicting job seekers’ risk of becoming long-term unemployed with respect to subgroup prediction performance, fairness metrics, and vulnerabilities to data analysis decisions using large-scale German administrative data. We show that despite achieving high prediction performance on average, profiling models can be considerably less accurate for vulnerable social subgroups and that different classification policies can have very different fairness implications.
|
 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 Search Authors in
BASE:
Kern, Christoph
;
Bach, Ruben L.
;
Mautner, Hannah
;
Kreuter, Frauke
Google Scholar:
Kern, Christoph
;
Bach, Ruben L.
;
Mautner, Hannah
;
Kreuter, Frauke
ORCID:
Kern, Christoph  ORCID: 0000-0001-7363-4299 ; Bach, Ruben L. ORCID: 0000-0001-5690-2829 ; Mautner, Hannah ; Kreuter, Frauke ORCID: 0000-0002-7339-2645
You have found an error? Please let us know about your desired correction here: E-Mail
Actions (login required)
 |
Show item |
|
|
