abstract

FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization

Authors:

Avital Shulner TalAuthors Info & Claims

UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization

Pages 404 - 405

https://doi.org/10.1145/3340631.3398671

Published: 13 July 2020 Publication History

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Abstract

The 3rd FairUMAP workshop brings together researchers working at the intersection of user modeling, adaptation, and personalization on the one hand, and bias, fairness and transparency in algorithmic systems on the other hand.

References

[1]

Ketki Deshpande, James Foulds, and Shimei Pan. [n. d.]. Mitigating Demographic Bias in AI-based Resume Filtering. In Proceedings of the 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2020), in conjunction with the 28th ACM Conference on User Modeling, Adaptation and Personalization(UMAP 2020), Genoa, Italy, July 12--18, 2020. ACM.

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[2]

Kyriakos Kyriakou, Styliani Kleanthous, Jahna Otterbacher, and George A. Papadopoulos. [n. d.]. Emotion-based Stereotypes in Image Analysis Services. In Proceedings of the 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2020), in conjunction with the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020), Genoa, Italy, July12--18, 2020. ACM.

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Google Scholar

[3]

Bashir Rastegarpanah, Mark Crovella, and Krishna) Gummadi. [n. d.]. Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy. In Proceedings of the 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2020), in conjunction with the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020), Genoa, Italy, July 12--18, 2020. ACM.

Digital Library

Google Scholar

[4]

Annelien Smets, Nils Walravens, and Pieter Ballon. [n. d.]. Designing Recommender Systems for the Common Good. In Proceedings of the 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2020), in conjunction with the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020), Genoa, Italy, July 12--18, 2020. ACM.

Digital Library

Google Scholar

[5]

Larissa P. Spinelli and Mark Crovella. [n. d.]. How YouTube Leads Privacy-Seeking Users Away from Reliable Information. In Proceedings of the 3rd Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2020), in conjunction with the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2020), Genoa, Italy, July 12--18, 2020. ACM.

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Bidarra JNeves C(2024)AI Transformation for Learning in OrganizationsCreating Learning Organizations Through Digital Transformation10.4018/979-8-3693-0556-0.ch004(49-72)Online publication date: 9-Feb-2024
https://doi.org/10.4018/979-8-3693-0556-0.ch004
Stützer CKravčík M(2023)Künstliche Intelligenz in der Hochschulbildung. Bildungssoziologische Perspektiven und HerausforderungenKünstliche Intelligenz in der Bildung10.1007/978-3-658-40079-8_11(219-239)Online publication date: 2-Nov-2023
https://doi.org/10.1007/978-3-658-40079-8_11
Holmes WPorayska-Pomsta KHolstein KSutherland EBaker TShum SSantos ORodrigo MCukurova MBittencourt IKoedinger K(2021)Ethics of AI in Education: Towards a Community-Wide FrameworkInternational Journal of Artificial Intelligence in Education10.1007/s40593-021-00239-132:3(504-526)Online publication date: 9-Apr-2021
https://doi.org/10.1007/s40593-021-00239-1

Index Terms

FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization
1. Human-centered computing

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Information & Contributors

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Published In

UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization

July 2020

426 pages

ISBN:9781450368612

DOI:10.1145/3340631

Editors:
Tsvi Kuflik
University of Haifa, Israel
,
Ilaria Torre
University of Genoa, Italy
,
Robin Burke
University of Colorado, Boulder, USA
,
Cristina Gena
University of Turin, Italy

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2020

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Abstract

Conference

UMAP '20

Sponsor:

UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization

July 14 - 17, 2020

Genoa, Italy

Acceptance Rates

Overall Acceptance Rate 162 of 633 submissions, 26%

Upcoming Conference

UMAP '25

Sponsor:
sigchi
sigchi

33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

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Cited By

View all

Bidarra JNeves C(2024)AI Transformation for Learning in OrganizationsCreating Learning Organizations Through Digital Transformation10.4018/979-8-3693-0556-0.ch004(49-72)Online publication date: 9-Feb-2024
https://doi.org/10.4018/979-8-3693-0556-0.ch004
Stützer CKravčík M(2023)Künstliche Intelligenz in der Hochschulbildung. Bildungssoziologische Perspektiven und HerausforderungenKünstliche Intelligenz in der Bildung10.1007/978-3-658-40079-8_11(219-239)Online publication date: 2-Nov-2023
https://doi.org/10.1007/978-3-658-40079-8_11
Holmes WPorayska-Pomsta KHolstein KSutherland EBaker TShum SSantos ORodrigo MCukurova MBittencourt IKoedinger K(2021)Ethics of AI in Education: Towards a Community-Wide FrameworkInternational Journal of Artificial Intelligence in Education10.1007/s40593-021-00239-132:3(504-526)Online publication date: 9-Apr-2021
https://doi.org/10.1007/s40593-021-00239-1

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UMAP 2020 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020) Chairs' Welcome

UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface

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