Call for Papers

Important Dates

• Submission deadline: October 7, 2025

• Notification: October 20, 2025

• Camera-ready: October 25, 2025

Topics of interest

Artificial intelligence is advancing rapidly and drawing wide attention. However, bringing AI into the real world remains a major challenge. Real-world data (RWD) typically exhibits multi-source heterogeneity, scarcity, and imbalance, usually with missingness, noise, biases, and limited labels, and constraints from privacy, compliance, and operations. These realities make reliability and maintainability central concerns. The First International Workshop on Artificial Intelligence for Real-world Challenges takes RWD as its starting point and focuses on how to build, deploy, monitor, and continually improve AI systems in real-world scenarios. We welcome diverse approaches to these challenges, including few-/zero-shot learning, data-centric AI, continual learning, etc. We also invite knowledge-driven methods, as well as retrieval-augmented generation and large language models (LLMs), and agent theory and applications that operate under real-world constraints. The workshop provides an interdisciplinary forum for researchers and practitioners worldwide to share cutting-edge research, innovative methods, and practical experience. Through keynotes, technical presentations, and panel discussions, it will foster interaction between AI researchers and domain experts, cultivate long-term collaborations, and inspire new research directions toward sustainable, impactful AI in real environments.

We invite submissions of original research papers, case studies, and surveys on AI and applications for interdisciplinary and real-world challenges. Topics of interest include, but are not limited to:

• Few‑shot and zero‑shot learning for real‑world data

• Transfer learning and domain adaptation in real-world scenarios

• Bias detection, concept drift, data drift, and shift‑robust methods

• AI Agent theory and applications

• Knowledge-enhanced AI or multimodal learning for domain applications

• Data-centric AI for noisy, imbalanced, and heterogeneous datasets

• LLMs for real-world challenges and cross-domain collaboration

• Retrieval‑augmented generation and grounding methods

• Web-enabled AI systems and intelligent agents for cross-domain collaboration

• AI applications in interdisciplinary fields, including healthcare, environment and earth system, materials, cultural heritage, etc.

• Platforms and tools for inclusive, diversity-aware, and human-centric AI

• Case studies of AI deployment and impact assessment in real-world scenarios

Instructions for submission

Full Paper Submissions

The workshop welcomes original, unpublished research papers and demo papers that are not under review elsewhere, including experimental research, case studies, and student research papers. Papers must be submitted electronically in standard IEEE Conference Proceedings format (max 6 pages including references, but you can purchase maximum 2 extra pages per accepted paper, see Article Templates). All submissions will undergo a peer-review process, coordinated by the International Program Committee. All accepted new contributions will be published in a companion volume of the IEEE WIC ACM International Conference on Web Intelligence (WI) (IEEE Xplore – Conference Table of Contents).

Abstract Submissions

AI4RWC 2025 also welcomes abstract-only submissions. Abstracts may present research methodologies, preliminary results, or ideas intended primarily for discussion, feedback, and exchange during the workshop. Submissions must follow the standard IEEE Conference Proceedings format and be limited to a maximum of 2 pages in PDF format.

Please note that only accepted full papers will be included in the official conference proceedings (IEEE Xplore – Conference Table of Contents). Abstract-only submissions, if accepted after peer review, will be scheduled for oral or poster presentation at the workshop. While abstracts will not be included in the IEEE proceedings, they will be published informally in the AI4RWC 2025 Working Notes and made available on the workshop website.

All submissions to the AI4RWC2025 are single blind (i.e., the author names and affiliations should be present in the submitted manuscript).