First International Workshop on Responsible Pattern Recognition and Machine Intelligence (Responsible PRandMI 2021) Call for Papers
Call for Papers
First International Workshop on Responsible Pattern Recognition
and Machine Intelligence (Responsible PR&MI 2021)
to be held as part of the 18th International Conference on Computer
Vision (ICCV 2021)
Workshop: October 11-17 2021 (TBC) - ONLINE EVENT
https://rprmiworkshop.github.io/iccv2021
Keynote Speakers
Iyad Rahwan, Max Planck Institute for Human Development (Germany)
Arun Ross, Michigan State University (US)
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Important Dates
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Submissions: June 19, 2021
Notifications: July 22, 2021
Camera-Ready: August 7, 2021
Workshop: October 11-17, 2021
All deadlines are 11:59pm, AoE time (Anywhere on Earth).
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Workshop Aims and Scope
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The consideration of ethical and beyond-accuracy aspects is of
increasing importance in industrial and academic spheres, as systems
empowered with AI are influencing all facets of our daily life. It is
now commonplace to see evidence on the harmful impacts of current AI
systems deployed in various real world, high-stakes
environments. Indeed, pattern recognition and machine intelligence
that leverage computer vision are among the domains exposed to ethical
risks, and recent work emphasizes that the methodologies and
countermeasures for facing challenges related to these issues are
highly domain-specific. Despite the recent attention, important
aspects like fairness, accountability, transparency, and ethics are
still under-explored in the computer vision domain. To extend
domain-generic studies conducted in literature and enhance our
understanding of these aspects specifically, exploring what fairness,
accountability, transparency, ethics, and other beyond-accuracy
aspects deeply mean in computer vision applications becomes hence
essential. Responsible PR&MI 2021 will be the ICCV's workshop aimed at
collecting high-quality, high-impact, original research in this
emerging field and providing a common ground for all interested
researchers and practitioners. Given the growing interest of the
community in these topics, we expect that this workshop will generate
a strong outcome and a wide community dialog.
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Workshop Keywords
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Pattern Recognition; Computer Vision; Bias; Fairness;
Transparency; Accountability
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Workshop Topics
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The workshop welcomes contributions in all topics related to fairness,
accountability, transparency, ethics, and other beyond-accuracy
aspects in pattern recognition and machine intelligence applications,
with special attention to computer vision, focused (but not limited)
to:
Data Collection and Problem Modelling:
Modelling fairness and/or other ethical aspects of pattern
recognition and machine intelligence models (e.g., auditing,
fairness concepts, definition of fairness, representative data
collection)
Modelling accountability of pattern recognition and machine
intelligence models (e.g., accountability for different user's
groups, accountability-aware model design)
Modelling transparency of pattern recognition and machine
intelligence models (e.g., participatory studies to identify
explanatory needs, explainable prediction schemas)
Modelling privacy and security in pattern recognition and
machine intelligence models (e.g., privacy-preserving models,
attacks threats modelling, requirements on protection of
user's representation)
Design and Development:
Methodologies to improve fairness and/or other ethical aspects
in pattern recognition and machine intelligence (e.g.,
multi-task learning and trade-offs, unfairness mitigation and
countermeasures)
Methodologies to improve accountability of pattern recognition
and machine intelligence (e.g., methods for describing the
system, data usage and integrity)
Methodologies to improve transparency of pattern recognition
and machine intelligence (e.g., explainable user's interfaces,
taxonomies for explanations)
Methodologies to improve privacy and security of pattern
recognition and machine intelligence (e.g., methods that
enable user control of shared sensitive attributes, multi-task
learning for trade-offs between privacy and accuracy)
Evaluation:
Methods to assess fairness and/or other ethical aspects in
pattern recognition and machine intelligence (e.g., metrics
for fairness assessment, evaluation protocols, assessing
stakeholder unfairness at group or individual level)
Methods to assess accountability in pattern recognition and
machine intelligence (e.g., metrics, protocols, and field
studies to validate accountability strategies, studies to
assess accountability of existing systems)
Methods to assess transparency in pattern recognition and
machine intelligence (e.g., metrics, protocols, and evaluation
frameworks for assessing the impact of explainable strategies
and interfaces)
Methods to assess privacy and security in pattern recognition
and machine intelligence (e.g., metrics, protocols, and
evaluation frameworks for assessing privacy and robustness)
Applications:
Action and behavior recognition
Biometric recognition
Computational photography
Image and video retrieval
Medical, biological, and cell microscopy
Scene analysis and understanding
Vision for robotics and autonomous vehicles
... and more related
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Submission Details
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We invite authors to submit 8-page unpublished original papers, with
additional pages containing only cited references allowed. Submitted
papers should not have been previously published or accepted for
publication in substantially similar form in any peer-reviewed venue,
such as journals, conferences, or workshops.
All submissions will go through a double-blind review process and be
reviewed by at least three reviewers on the basis of relevance for the
workshop, novelty/originality, significance, technical quality and
correctness, quality and clarity of presentation, quality of
references and reproducibility. Submitted papers must be formatted
according to the Latex template of the workshop. Authors should
consult the workshop paper guidelines for the preparation of their
papers. Both the template and the guidelines are identical to the ICCV
2021 main conference ones. All contributions must be submitted as PDF
files to https://easychair.org/my/conference?conf=rprmi2021.
Submitted papers will be rejected without review in case they are not
properly anonymized, do not comply with the template, or do not follow
the above guidelines.
Accepted papers will be published in the ICCV 2021 workshop proceedings.
We expect authors, PC, and the organizing committee to adhere to these
policies, same as the ICCV 2021 main conference.
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Attending
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TBD
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Workshop Chairs
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Silvio Barra
https://www.silviobarra.com
University of Naples, Federico II, Naples, Italy
Email: silvio.barra@unina.it
Mirko Marras
http://www.mirkomarras.com/
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Email: mirko.marras@epfl.ch
Aythami Morales
https://aythami.me/
Universidad Autónoma de Madrid, Madrid, Spain
Email: aythami.morales@uam.es
Vishal Patel
https://engineering.jhu.edu/vpatel36/sciencex_teams/vishalpatel/
Johns Hopkins University, Baltimore, Maryland, US
Email: vpatel36@jhu.edu
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Contacts
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For general enquiries on the workshop, please send an email to
silvio.barra@unina.it, mirko.marras@epfl.ch, aythami.morales@uam.es,
and vpatel36@jhu.edu (all in copy).