-------- Forwarded Message --------
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/oggrm
)
Minitrack: FAIRNESS IN ALGORITHMIC DECISION MAKING
(
https://hicss.hawaii.edu/tracks-55/decision-analytics-and-service-science/#fairness-in-algorithmic-decision-making-minitrack
)
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