-------- Forwarded Message -------- Subject: [AISWorld] CfP HICSS-55 minitrack on FAIRNESS IN ALGORITHMIC DECISION MAKING MINITRACK - Deadline: June 15 Date: Sat, 29 May 2021 11:24:32 +0200 From: Boris Delibašić delibasicboris@gmail.com To: aisworld@lists.aisnet.org
55th Annual Hawaii International Conference on System Sciences (HICSS-55) January 4-7, 2022 (Tuesday-Friday) Hyatt Regency Maui Resort and Spa ( https://www.hyatt.com/en-US/hotel/hawaii/hyatt-regency-maui-resort-and-spa/o... )
Minitrack: FAIRNESS IN ALGORITHMIC DECISION MAKING ( https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#f... ) Part of the Track: Decision Analytics and Service Science
Minitrack description:
The minitrack addresses topics related to imposing fairness requirements and conditions in algorithmic decision making. With the introduction of regulations such as GDPR and California algorithms used for automatization of human decision-making in areas such as classification, recommendation, ranking, are subject to non discriminatory behavior.
Although algorithms are not a recent invention, they are being increasingly used in many systems to support business decision making. Such systems often rely on a large amount of data to extract knowledge for more informed decisions. Even with human intervention, the impact of the decision on people can be significant, such as access to education, employment, medical treatment etc. However, allowing algorithmic decision making tools to make or influence decisions raises ethical, legal, and technical issues. If these issues are neglected, benefits of such systems will result in discrimination, unfair practices, manipulations etc. To address and mitigate these issues one needs to design and create a mechanism or technique to achieve algorithmic fairness. Fairness can be introduced in algorithmic decision making prior to algorithm learning or application (pre-processing), during the decision making model learning (in-processing), or prior to model application (post-processing). Besides this, one must observe short-term and long-term effects of algorithm interventions and design fair decision making mechanisms.
We invite papers, which highlight any of the concerns and the topics below, with the aim to discuss problems and provide possible answers at the conference.
Impact of Data Processing on Fairness in Supervised and Unsupervised Learning Constraint Optimization for Fairness in Algorithmic Decision Making Long term Fairness intervention effects Fair Regularization and fair adversarial learning Fairness in Ranking and Recommendation Systems Post-processing for Fairness. Farness Algorithmic Decision Making Pipeline interventions Fair Mechanism Design with multiple policy makers Fair Resource Allocation Software tools for algorithmic decision making fairness
Authors of the best papers presented during the conference in this minitrack will be invited to submit an extended version of their paper for fast track to journal publication in Computer Science and Information Systems (ComSIS), ISI IF(2019) = 0.927, and COLA, ISI IF(2019) = 1.250.
For additional information or to submit abstracts, please contact the minitrack co-chairs: Boris Delibašić (Primary Contact) University of Belgrade boris.delibasic@fon.bg.ac.rs
Sandro Radovanović University of Belgrade sandro.radovanovic@fon.bg.ac.rs
Important Dates for HICSS-55 Paper Submission: April 15, 2021: Paper submission begins June 15, 2021 | 11:59 pm HST: Paper submission deadline August 17, 2021: Notification of Acceptance/Rejection September 4, 2021: Deadline for authors to submit the revised version of papers accepted with mandatory changes (A-M) September 11, 2021: Notification of Acceptance/Rejection for A-M papers September 22, 2021: Deadline for authors to submit final manuscript for publication October 1, 2021: Deadline for at least one author of each paper to register for HICSS-55
For further submission information, please see the general HICSS-55 Call for Papers (https://hicss.hawaii.edu/authors/). _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org