Image and Vision Computing, Special Issue on “Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision”

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*** Call for Papers –  Image and Vision Computing***

Special issue on Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision

*PAPER SUBMISSION DEADLINE: Feb 7, 2025*
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OVERVIEW =

The rapid advancement of deep learning presents significant challenges, particularly in the realm of ethical data collection and usage. As regulations like the General Data Protection Regulation (GDPR) gain prominence, the need for rigorous ethical standards across various fields becomes increasingly apparent. In domains such as biometrics, data has frequently been collected without appropriate consent or ethical consideration. The medical field, in particular, grapples with the dual challenges of safeguarding privacy and the inherent difficulties of data acquisition.

Ensuring continued progress in deep learning requires that data collection and generation practices adhere to strict ethical guidelines. Greater control over data is essential to enhancing transparency and fairness within deep learning methodologies. Attention must also be given to the explainability of systems trained on generated data, as well as the fairness implications of using synthetic datasets. Addressing these challenges is critical to fostering more ethical and responsible advancements in deep learning.


= SPECIAL ISSUE TOPICS =

The Special Issue aims to promote research on the use of Explainable AI and Synthetic Data to enhance transparency and privacy in Biometrics and Computer Vision.  Topics include, but are certainly not limited to:
  • Responsible image synthesis
  • Generative models
  • Assessing and comparing AI explanations
  • Researching causal learning and inference
  • Synthetic medical data with clinical information
  • Innovative synthesis of biometric data
  • Generating natural language for explanations
  • AI transparency and fairness
  • Learning from synthetic data
  • Interpreting biometric models and vulnerabilities
  • Fairness enhancement with synthetic data

= IMPORTANT DATES =
Submission dates:

Submission Open Date: Oct 1, 2024
Final Manuscript Submission Deadline: Feb 7, 2025
Editorial Acceptance Deadline: Apr 7, 2025
= GUEST EDITORS =

Lucia Cascone – University of Salerno, Italy (lcascone@unisa.it)
Zilong Huang – TikTok, Singapore (
zilonghuang2020@gmail.com)
Pedro C. Neto – Unilabs & FEUP (pedro.d.carneiro@inesctec.pt)
Ana F. Sequeira – INESC TEC (ana.f.sequeira@inesctec.pt)
= SUBMISSION AND REVIEW DETAILS =

Manuscript submission information:

The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from Oct 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: XAISynData” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors – Image and Vision Computing – ISSN 0262-8856 (elsevier.com)

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