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  Accounting for Model Uncertainty in Algorithmic Discrimination

Ali, J., Lahoti, P., & Gummadi, K. P. (2021). Accounting for Model Uncertainty in Algorithmic Discrimination. In M. Fourcade, B. Kuipers, S. Lazar, & D. Mulligan (Eds.), AIES '21 (pp. 336-345). New York, NY: ACM. doi:10.1145/3461702.3462630.

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3461702.3462630.pdf (Publisher version), 2MB
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This work is licensed under a Creative Commons Attribution International 4.0 License. AIES ’21, May 19–21, 2021, Virtual Event, USA. © 2021 Copyright held by the owner/author(s). ACM ISBN 978-1-4503-8473-5/21/05. https://doi.org/10.1145/3461702.3462630
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 Creators:
Ali, Junaid1, Author           
Lahoti, Preethi2, Author           
Gummadi, Krishna P.3, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
3Group K. Gummadi, Max Planck Institute for Software Systems, Max Planck Society, ou_persistent22              

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Language(s): eng - English
 Dates: 20212021
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Ali_AIES2021
DOI: 10.1145/3461702.3462630
 Degree: -

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Title: Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics and Society
Place of Event: Virtual Conference
Start-/End Date: 2021-05-19 - 2021-05-21

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Project name : FairSocialComputing
Grant ID : 789373
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : imPACT
Grant ID : 610150
Funding program : Funding Programme 7 (FP7)
Funding organization : European Commission (EC)

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Title: AIES '21
  Subtitle : Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
  Abbreviation : AIES 2021
Source Genre: Proceedings
 Creator(s):
Fourcade, Marion1, Editor
Kuipers, Benjamin1, Editor
Lazar, Seth1, Editor
Mulligan, Deirdre1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 336 - 345 Identifier: ISBN: 978-1-4503-8473-5