Overview
The European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) is set to host a special session focused on the critical themes of reliability, safety, and robustness in AI applications. Scheduled for April 22 to 24, 2026, in Bruges, Belgium, this session aims to address the pressing need for AI systems to operate reliably in real-world scenarios, especially when faced with conditions that differ from their training environments.
Background & Relevance
As artificial intelligence continues to permeate various sectors, ensuring the reliability and safety of AI models becomes paramount. The ability of machine learning systems to perform under diverse and unpredictable conditions is essential for their deployment in safety-critical applications. This session will highlight recent advancements and methodologies that enhance the robustness of AI systems, making them more trustworthy and effective in real-world applications.
Key Details
- Event: ESANN 2026 Special Session on Reliability, Safety, and Robustness of AI Applications
- Dates: April 22-24, 2026
- Location: Bruges, Belgium
- Submission Deadline: November 19, 2025
- Notification of Decisions: January 23, 2026
- Session Themes:
- Safety-Critical AI Applications
- Robustness Under Distribution Shifts
- Adversarial Robustness and Stress Testing
- Reliability Testing and Evaluation Protocols
- Human-in-the-Loop Safety
- Explainability for Safety-Critical Decisions
- Formal Verification of AI Models
- Uncertainty Quantification and Calibration
- Link: ESANN Special Sessions
Eligibility & Participation
This call for papers invites researchers and practitioners working in the field of AI and machine learning, particularly those focusing on safety and reliability aspects. Contributions from both academia and industry are welcome, especially those that provide insights into practical applications and methodologies.
Submission or Application Guidelines
Submissions should adhere to the guidelines provided by the ESANN conference. Authors are encouraged to submit their papers by the deadline, ensuring that their work aligns with the themes of the special session. Detailed submission instructions can be found on the ESANN website.
Additional Context / Real-World Relevance
The emphasis on reliability and safety in AI systems is increasingly relevant as these technologies are integrated into critical sectors such as healthcare, transportation, and finance. Addressing these challenges not only enhances the performance of AI systems but also builds public trust in their deployment. This special session will serve as a platform for sharing innovative research and practical solutions that contribute to safer AI applications.
Conclusion
Researchers and practitioners are encouraged to explore this opportunity to contribute to the important discourse on AI reliability and safety. The insights shared during this session will be vital for advancing the field and ensuring that AI technologies can be safely integrated into everyday applications. Consider submitting your work and joining the conversation in Bruges in 2026.
Category: CFP & Deadlines
Tags: ai, machine learning, safety, robustness, reliability, esann, computational intelligence, adversarial robustness, explainability
