ACM UMAP2023 Workshop - Sixth Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023)
Styliani Kleanthous
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CALL FOR PAPERS
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Sixth Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023)
At the ACM Conference on User Modeling, Adaptation, and Personalization (UMAP 2023)
June 26 - 30, Limassol, Cyprus
Workshop website: https://fairumap.wordpress.com/
Conference website: https://www.um.org/umap2023/
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WORKSHOP DESCRIPTION
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Personalization has become a ubiquitous and essential part of systems that help users find relevant information in today's highly complex information-rich online environments. Machine learning, recommender systems, and user modeling are key enabling technologies that allow intelligent systems to learn from users and adapt their output to users' needs and preferences. However, there has been a growing recognition that these underlying technologies raise novel ethical, legal, and policy challenges. It has become apparent that a single-minded focus on the user preferences has obscured other important and beneficial outcomes such systems must be able to deliver. System properties such as fairness, transparency, balance, openness to diversity, and other social welfare considerations are not captured by typical metrics based on which data-driven personalized models are optimized. Indeed, widely-used personalization systems in such popular sites such as Facebook, Google News and YouTube have been heavily criticized for personalizing information delivery too heavily at the cost of these other objectives.
Bias, fairness, and transparency in machine learning are topics of considerable recent research interest. However, more work is needed to expand and extend this work into algorithmic and modeling approaches where personalization and user modeling are of primary importance. In particular, it is essential to address these challenges from the standpoint of understanding stereotypes in users’ behaviors and their influence on user or group decisions.
The Workshop on Fairness in User Modeling, Adaptation, and Personalization 2021 aims to bring together experts from academia and industry to discuss ethical, social, and legal concerns related to personalization and user modeling with the goal of exploring a variety of mechanisms and modeling approaches that help mitigate bias and achieve fairness in personalized systems.
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TOPICS OF INTEREST
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Topics of interest include, but are not limited to the following.
- Bias and discrimination in user modeling, personalization and recommendation
- Computational techniques and algorithms for fairness-aware personalization
- Definitions, metrics and criteria for optimizing and evaluating fairness-related aspects of personalized systems
- Data preprocessing and transformation methods to address bias in training data
- User modeling approaches that take fairness and bias into account
- User studies and other empirical studies to evaluate impact of personalization on fairness, balance, diversity, and other social welfare criteria
- Balancing needs of multiple stakeholders in recommender systems and other personalized systems
- "Filter bubble" or "balkanization" effects of personalization
- Transparent and accurate explanations for recommendations and other personalization outcomes
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IMPORTANT DATES
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Submission deadline: April 20, 2023
Notification of acceptance: May 8, 2023
Camera-ready due: May 18, 2023 (Mandatory for inclusion in UMAP Adjunct Proceedings)
All deadlines are 11:59pm, AoE time (Anywhere on Earth)
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PAPER SUBMISSION
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Research papers reporting original results as well as position papers proposing novel and ground-breaking ideas pertaining to the workshop topics are solicited.
Manuscripts must be in English. Workshop papers till 7 pages (excluding references) will be considered as short papers, while workshop papers between 8 and 14 pages (excluding references) will be considered as full papers.
Papers must be formatted as a single-column manuscript according to the new workflow for ACM publications. The templates and instructions are available here: https://www.acm.org/publications/taps/word-template-workflow.
Available templates include:
LaTeX (use \documentclass[manuscript,review,anonymous]{acmart} in the sample-authordraft.tex file for single-column):
Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column):
https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt
MS Word:
https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx
Papers will be submitted through EasyChair https://easychair.org/conferences/?conf=umap23
by selecting the track: UMAP’23 – workshop FairUMAP.
Accepted papers will be presented at the workshop and included in the Adjunct proceedings of the conference.
At least one author of each accepted paper must attend the workshop and present the paper.
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WORKSHOP Organizing Committee
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Bamshad Mobasher, DePaul University, USA
Styliani Kleanthous, Open University of Cyprus and CYENS CoE
Robin Burke, University of Colorado, Boulder, USA
Jahna Otterbacher, Open University of Cyprus and CYENS CoE
Avital Shulner, University of Haifa, Israel