5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022)

Styliani Kleanthous; Bamshad Mobasher; Tsvika Kuflik; Bettina Berendt; Robin Burke; Jahna Otterbacher; Nasim Sonboli; Avital Shulner Tal

doi:10.1145/3511047.3536348

5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022)

Styliani Kleanthous, Bamshad Mobasher, Tsvika Kuflik, Bettina Berendt, Robin Burke, Jahna Otterbacher, Nasim Sonboli, Avital Shulner Tal

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery, Inc
Pages	209-210
Number of pages	2
ISBN (Electronic)	9781450392327
DOIs	https://doi.org/10.1145/3511047.3536348
State	Published - 4 Jul 2022
Event	30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 - Virtual, Online, Spain Duration: 4 Jul 2022 → 7 Jul 2022

Publication series

Name	UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference	30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022
Country/Territory	Spain
City	Virtual, Online
Period	4/07/22 → 7/07/22

Keywords

Algorithmic Fairness
Algorithmic Transparency
Bias in AI

ASJC Scopus subject areas

Software

Access to Document

10.1145/3511047.3536348

Cite this

Kleanthous, S., Mobasher, B., Kuflik, T., Berendt, B., Burke, R., Otterbacher, J., Sonboli, N., & Tal, A. S. (2022). 5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). In UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 209-210). (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery, Inc. https://doi.org/10.1145/3511047.3536348

Kleanthous, Styliani ; Mobasher, Bamshad ; Kuflik, Tsvika et al. / 5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2022. pp. 209-210 (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization).

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title = "5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022)",

keywords = "Algorithmic Fairness, Algorithmic Transparency, Bias in AI",

author = "Styliani Kleanthous and Bamshad Mobasher and Tsvika Kuflik and Bettina Berendt and Robin Burke and Jahna Otterbacher and Nasim Sonboli and Tal, {Avital Shulner}",

year = "2022",

month = jul,

day = "4",

doi = "10.1145/3511047.3536348",

language = "English",

series = "UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization",

publisher = "Association for Computing Machinery, Inc",

pages = "209--210",

booktitle = "UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization",

note = "30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022 ; Conference date: 04-07-2022 Through 07-07-2022",

}

Kleanthous, S, Mobasher, B, Kuflik, T, Berendt, B, Burke, R, Otterbacher, J, Sonboli, N & Tal, AS 2022, 5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). in UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, pp. 209-210, 30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022, Virtual, Online, Spain, 4/07/22. https://doi.org/10.1145/3511047.3536348

5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). / Kleanthous, Styliani; Mobasher, Bamshad; Kuflik, Tsvika et al.
UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2022. p. 209-210 (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - 5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022)

AU - Kleanthous, Styliani

AU - Mobasher, Bamshad

AU - Kuflik, Tsvika

AU - Berendt, Bettina

AU - Burke, Robin

AU - Otterbacher, Jahna

AU - Sonboli, Nasim

AU - Tal, Avital Shulner

PY - 2022/7/4

Y1 - 2022/7/4

KW - Algorithmic Fairness

KW - Algorithmic Transparency

KW - Bias in AI

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DO - 10.1145/3511047.3536348

M3 - Conference contribution

AN - SCOPUS:85135169265

T3 - UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

SP - 209

EP - 210

BT - UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization

PB - Association for Computing Machinery, Inc

T2 - 30th ACM Conference on User Modeling, Adaptation and Personalization, UMAP2022

Y2 - 4 July 2022 through 7 July 2022

ER -

Kleanthous S, Mobasher B, Kuflik T, Berendt B, Burke R, Otterbacher J et al. 5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). In UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc. 2022. p. 209-210. (UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3511047.3536348

5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022)

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this