Connectionists: CFP XKDD at ECML PKDD - deadline extension

[Francesca NARETTO]

** deadline extension **

*XKDD and Beyond 2025* - Call for Papers
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7th ECML PKDD International Workshop on eXplainable Knowledge Discovery in
Data Mining and *UNLEARNING*
https://xkdd2025.isti.cnr.it/
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co-located with the ECML-PKDD 2025 Conference, Porto, Portugal


*IMPORTANT DATES*
Paper Submission deadline: *June 14th, 2025*
Accept/Reject Notification: July 14th, 2025
Workshop: September 19th, 2025


*CONTEXT & OBJECTIVES*
In recent years, Artificial Intelligence (AI)-driven decision systems have
been widely applied in domains such as credit scoring, insurance risk
assessment, and health monitoring, where predictive accuracy is critical.
While these systems enhance decision-making capabilities, they also
introduce ethical and legal challenges, including bias reinforcement,
reduced transparency, privacy concerns, and diminished accountability. The
complexity and opacity of modern AI models further exacerbate these risks,
making it difficult to ensure fairness and compliance with ethical and
legal standards.
Most AI systems today rely on Machine Learning algorithms, and the need for
ethics and trust in AI has been emphasized through various regulations and
guidelines. Frameworks such as the EU’s GDPR mandate the right to
"meaningful explanations" of automated decision-making processes, while the
AI Act advocates for explainability, transparency, and accountability in
AI-driven decision-making.

Despite these efforts, the challenge of developing AI systems that are
truly explainable, trustworthy, and compliant with regulatory frameworks
remains unresolved. Many methodologies address aspects such as
explainability, fairness, and accountability, but a comprehensive and
effective framework is still lacking. Addressing these challenges requires
collaboration across disciplines, including computer science, law,
sociology, and ethics.

XKDD and Beyond is dedicated to advancing research on explainable,
transparent, ethical, and fair AI-driven decision systems. *This year, the
workshop expands its scope to include the emerging topic of unlearning and
its intersection with explainable AI (XAI)*. Unlearning, or the removal of
specific knowledge from AI models, is a crucial challenge, especially in
contexts requiring compliance with the "right to be forgotten" under GDPR.
However, achieving effective unlearning is complex, as model parameters
encode learned information in intricate ways.

XAI techniques play a vital role in operationalizing unlearning by
providing insights into how decisions are made, identifying the influence
of specific data points, and guiding targeted interventions to remove
unwanted knowledge while preserving model performance. By integrating
explainability with unlearning, AI systems can become more adaptable,
accountable, and aligned with ethical and legal standards.


*TOPICS*

XKDD 2025 invites researchers and practitioners from academia and industry
to explore the latest advancements in explainability, trust, and unlearning
in AI. Join us in shaping the future of ethical and transparent AI-driven
decision-making.
Topics of interest include, but are not limited to:

*- XAI and Unlearning*
*- XAI for Trustworthy AI*
*- XAI for Social AI*
*- XAI to Align AI with Human Values*
*- XAI for Outlier and Anomaly Detection*
*- XAI methodologies for tabular data, images, text, and time series*
*- XAI for ethical, fair, and transparent AI systems*
*- XAI techniques for enabling unlearning in machine learning models*
*- The role of XAI in privacy preservation and regulatory compliance*
*- Case studies on XAI and unlearning applications in real-world scenarios*
*- Quantitative and qualitative evaluations of XAI*
*- Quantitative and qualitative evaluations of unlearning approaches*
*- XAI for Federated Learning*
*- XAI for Graph-based Approaches*
*- XAI for Visualization*
*- Interpretable Machine Learning*
*- Transparent Data Mining*
*- XAI for Fairness Checking*
*- Multi-level XAI*
*- Explanation, Accountability, and Liability from an Ethical and Legal
Perspective*

XKDD 2025 is a Workshop of the ECML-PKDD Conference:
https://ecmlpkdd.org/2025/


*SUBMISSION & PUBLICATION*
The submission link is:
https://cmt3.research.microsoft.com/ECMLPKDDWorkshopTrack2025/

Papers must be written in English and formatted according to the Springer
Lecture Notes in Computer Science (LNCS) guidelines following the style of
the main conference.
- The maximum length of either research or position papers is 16 pages
references included. Overlength papers will be rejected without review
(papers with smaller page margins and font sizes than specified in the
author instructions and set in the style files will also be treated as
overlength).
- We also accept 2-4 pages abstracts (including references) that outline
new emerging ideas or already published work, to stimulate discussion and
collaboration among participants.
Authors who submit their work to XKDD 2025 commit themselves to present
their paper at the workshop in case of acceptance. XKDD 2025 considers the
author list submitted with the paper as final. No additions or deletions to
this list may be made after paper submission, either during the review
period, or in case of acceptance, at the final camera ready stage.
Condition for inclusion in the post-proceedings is that at least one of the
co-authors has presented the paper at the workshop. Pre-proceedings will be
available online before the workshop.
All accepted full papers will be published as post-proceedings in LNCSI and
included in the series name Lecture Notes in Computer Science.

More info at: https://xkdd2025.isti.cnr.it/



*PROGRAM CO-CHAIRS*
- Francesca Naretto, University of Pisa, Pisa, Italy
- Francesco Spinnato, University of Pisa, Pisa, Italy
- Przemyslaw Biecek, Warsaw University of Technology, Poland
- Josep Domingo-Ferrer, Universitat Rovira i Virgili, Catalonia


*INVITED SPEAKERS *
- Andreas Theissler, Aalen University of Applied Sciences, Germany
- Josep Domingo-Ferrer, Universitat Rovira i Virgili, Catalonia


*STEERING COMMITTEE*
- Riccardo Guidotti, University of Pisa, Italy
- Anna Monreale, University of Pisa, Italy
- Salvatore Rinzivillo, ISTI-CNR, Pisa, Italy
- Przemyslaw Biecek, Warsaw University of Technology, Warsaw, Poland


*VENUE*
The event will take place at the ECML-PKDD 2025 Conference.


*CONTACT*
All inquires should be sent to francesca.naretto at unipi.it,
francesco.spinnato at di.unipi.it

--
Francesco Spinnato, Ph.D.
Research Fellow
University of Pisa, Italy
francesco.spinnato at di.unipi.it



-- 
Francesca Naretto
Ph.D. in Data Science
francesca.naretto at sns.it
SNS, Pisa | CNR, Pisa
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