posted by organizer: kamisima || 7512 views || tracked by 5 users: [display]

FAccTRec 2021 : RecSys2021 workshop: The 4th FAccTRec Workshop on Responsible Recommendation


When Sep 25, 2021 - Sep 25, 2021
Where Amstrerdam / Online
Submission Deadline Jul 29, 2021
Notification Due Aug 21, 2021
Final Version Due Sep 4, 2021
Categories    recommender systems   ethics   machine learning   information retrieval

Call For Papers

We are pleased to announce the call for papers of the 4th FAccTRec2021 workshop, in conjunction with the RecSys2021 conference. The FAccTRec is a venue for discussion, and no official proceedings will be published. We allow manuscripts that are already published or currently submitting, as well as original ones. The deadline is **July 29th, 2021**.

Please consider submitting your work to this venue. CFP below!

Apologies for cross-posting!

The 4th FAccTRec2021 Workshop on Responsible Recommendation (FAccTRec2021)

EasyChair Link: (forthcoming)

Important Dates:
* Paper submission deadline: July 29th, 2021
* Author notification: August 21st, 2021
* Camera-ready version deadline: September 4th, 2021
* Workshop date: September 25, 2021. (Full day)

TIMEZONE: Anywhere On Earth

# Scope

The 4th FAccTRec Workshop on Responsible Recommendation at RecSys 2021 is a venue for discussing problems of social responsibility in maintaining, evaluating, and studying recommender systems. In this workshop, we welcome research and position papers about ethical, social, and legal issues brought by the development and the use of recommendation that will support a discussion on providing and evaluating socially responsible recommendations.

We plan for this workshop to be a hybrid workshop, with an in-person component in Amsterdam in addition to a virtual component. Further details will be forthcoming, but physical attendance in Amsterdam will be encouraged if possible but not necessary to participate in the workshop.

# Topics of Interest

FAccTRec stands for Fairness, Accountability and Transparency in Recommender Systems and aims to draw attention to these issues at ACM RecSys, as has been done in the broader computer science community through events such as FAccT conference( ). There are many potential aspects of responsibility in recommendation, including (but not limited to):

* Responsibility: what does it mean for a recommender system to be socially responsible? How can we assess the social and human impact of recommender systems?
* Fairness: what might ‘fairness’ mean in the context of recommendation? How could a recommender be unfair, and how could we measure such unfairness? How can we design systems to address specific fairness-related harms to users, providers, or other stakeholders?
* Accountability: to whom, and under what standard, should a recommender system be accountable? How can or should it and its operators be held accountable? What harms should such accountability be designed to prevent?
* Transparency: what is the value of transparency in recommendation, and how might it be achieved? How might it trade off with other important concerns?
* Compliance: how should algorithms and especially recommendation algorithms be designed to adhere to the laws or regulations, such as the EU GDPR, the IEEE EAD, or the UK Data Ethics Framework? How should data collection be rethought to meet those new privacy standards? How to meet the requirements in terms of transparency and explainability of algorithmic decisions.
* Safety: how can a recommender system distort users’ opinions? what is required to be resilient to such a distortion? What is a proper treatment of private or sensitive information when making recommendations?

# Submission Guidelines

We encourage submissions in the above topics. No official proceedings will be published, because the focus of this workshop is discussion about the directions to build and manage responsible recommender systems and to provide feedback on early-stage research. All accepted papers manuscripts will be expected to be posted on by the authors, and an arXiv Index will index the accepted papers. We allow manuscripts that have already published or that are currently submitted to another venue, so long as arXiv publication is compatible with that venue’s requirements; already-published manuscripts should be accompanied by a cover abstract justifying their contribution specifically to FAccTRec.

Manuscripts must be submitted through EasyChair (link forthcoming) and will be reviewed by a program committee. The review process is a single-blind, the authors names do not need to be anonymized. Presentations will be held in an oral or a poster style.

# Submission Types:

## Position Papers

Position papers address one or more of the above themes, or practical issues in building responsible recommendations. These could be either research systems or production systems in industry. The number of pages should be limited to three (3) pages in the ACM manuscript format and two (2) pages in the ACM sigconf format, not including references. You can omit the abstract in the article.
For the 2021 workshop, we are particularly interested in position papers that reflect on the development of this space over the last 5 years: what is different about the responsible recommendation space now from when we had the first workshop in 2017? Where should the field go next? What impact has this research had on the broader field?
Position papers connecting FAccTRec topics to recent events or public discussions are also welcome.

## Research Papers

Research papers present empirical or analytical results related to the social impact of recommender systems or algorithms. These could be explorations of bias in recommender systems (either live systems or sandboxed algorithms), explainability and transparency of recommender systems, experiments regarding the impact of the recommender on its users or others, etc. We will construe the topics broadly. The number of pages should be limited to ten (10) pages in the ACM manuscript format and or six (6) pages in the ACM sigconf format, excluding references.

# Paper format

We encourage you to format in the ACM manuscript / sigconf format with the subsequent options.


CCS class and keywords parts can be omitted.
However, we will not limit to this format, and will accept one of the ACM sigconf, the IEEE proceedings format, the NeurIPS format, and the ICML proceedings format. The number of words should be limited to 2000 words for position papers, and 3000 - 5000 words for research papers. Each display-style-equation is counted as 30 words and each figure or table is counted as 200 words.

# Submission

Papers should be submitted from the EasyChair. Please do not forget to choose your type of submission: Position or Research.

# Workshop Chairs

* Michael D. Ekstrand, Boise State University
* Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology (AIST)
* Pierre-Nicolas Schwab, Solvay Brussels School of Economics and Management
* Nasim Sonboli, University of Colorado Boulder

The FAccTREC2021 Organizing Committee.

The FAccTRec 2021 workshop is proudly a part of the [FAccT network] (, to publish and engage with fairness, accountability, and transparency scholars across connected disciplines.

Related Resources

FAccTRec 2024   7th FAccTRec Workshop on Responsible Recommendation
ICMLA 2024   23rd International Conference on Machine Learning and Applications
AusDM 2024   Australasian Data Mining Conference
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
BIAS 2024   International Workshop on Algorithmic Bias in Search and Recommendation
AAAI 2025   The 39th Annual AAAI Conference on Artificial Intelligence
INRA 2024   International Workshop on News Recommendation and Analytics
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
EAI SAFER-TEA 2024   International Conference on Safe, Secure, Ethical, Responsible Technologies and Emerging Applications
JCDL 2024   2024 ACM/IEEE-CS Joint Conference on Digital Libraries