1^st RAISE Workshop:
Resilient AI Framework for Secure and Ethical
Machine Learning Systems

Overview

The First Workshop on Resilient AI Framework for Secure and Ethical Machine Learning Systems (RAISE 2025) aims to promote a socio-technical perspective on AI. The workshop focuses on the development of resilient AI systems that uphold human values such as fairness, transparency, privacy, and trust. Resilient AI systems must incorporate robustness, reliability, accountability, and ethical safeguards to adapt effectively to real-world scenarios.

The workshop brings together researchers and practitioners to address challenges including data quality, privacy protection, human-centered AI design, and the validation of machine learning systems. RAISE promotes interdisciplinary discussion to explore innovative techniques and empirical studies for building AI systems that are secure, interpretable, and inclusive.

Topics of interest include, but are not limited to:

• Data profiling approaches for AI systems
• Data quality approaches for AI systems
• Tools and metrics to summarize data relationships
• Privacy concerns of AI systems
• Privacy-preserving machine learning
• Ethics and trustworthy AI
• Reliability and fairness of AI-based systems
• Resilient AI models
• Empirical evaluation of resilient AI solutions in real-world cases
• Verification and validation methods for AI-based systems
• Explainable AI
• AI solutions to critical scenarios
• Domain-specific AI solutions
• AI-based systems for human interaction
• AI-based systems for requirements analysis
• AI-based adaptive systems
• User-centered design solutions for AI-based systems
• AR/VR user-centered interfaces for AI-based systems
• Adaptation of AR/VR in learning contexts
• Neuro-Symbolic AI

Submissions

We invite submissions of original research and position papers. Submissions should follow the "1-column CEURART" template:

• Microsoft Word Template
• LaTeX (Overleaf)

The minimum length of a CEUR paper should be 5 pages, with approximately 2500 characters (= 380-400 words) per page. All papers will be reviewed by the organizers and by the program committee based on relevance and significance in order to provide constructive comments to the submitters. Reviewing will be single blind (i.e. author names and affiliations should be listed). If accepted, at least one of the authors must register and attend the workshop.

Submissions should be provided via EasyChair (https://easychair.org/conferences/?conf=raise2025). Accepted papers will be presented at the workshop and included in the CEUR Workshop Proceedings (http://ceur-ws.org/)