Call for papers
Artificial Intelligence (AI) and Requirements Engineering (RE) share a symbiotic relationship: AI techniques empower RE practices with automation and advanced analytics, while RE provides the foundations for developing safe, reliable, and trustworthy AI-based systems. AIRE'26 invites original research contributions exploring this intersection, categorized into two primary directions:
AI for RE, including topics such as:
- Natural language processing and comprehension
- Natural language semantics, understanding, and generation
- Machine learning techniques, including supervised, unsupervised, and machine-human interactions
- Artificial neural networks and deep learning for the RE lifecycle
- Large language models and generative AI for RE
- Logic-based reasoning techniques
- Optimization techniques
- Detection of uncertainties and ambiguities
- Knowledge acquisition and representation
- Problem-solving and decision-making support
- Automated approaches for prioritization
- Multi-modal requirements and their automation
- AI-assisted requirements creativity and augmentation
- Automated translation of goals and intents into requirements
- RE quality models and their automation
RE for AI, including topics such as:
- RE for agentic systems
- RE for machine learning-based systems
- RE to support trustworthy and responsible AI
- RE for AI-based safety-critical systems
- RE for energy-efficient and sustainable AI
The following types of papers are possible (page limits include references):
- Research papers (Long: 7-10 pages; Short: max 4 pages): These papers should describe ongoing research within the entire spectrum of AI and RE and can describe either a novel technical solution, a new tool, or an empirical evaluation. Short papers present preliminary work or research previews, while long papers present more advanced yet ongoing studies.
- Experience papers (Long: 7-10 pages; Short: max 4 pages): These papers should describe experiences, challenges, or lessons learned from practice. They shall inform the participants about real-world issues on which the research should focus.
- Position papers (max 4 pages): These papers serve to foster discussion on emerging, relevant topics in the field.
Evaluation criteria
News: AIRE'26 will follow a double-blind review process. We will follow the same double-blind review instructions as the RE'26 Research Track, available here.
The following high-level quality criteria guide the peer-review process:
- Within scope: Submitted work needs to be in the context of requirements engineering and either employ AI or discuss its relation to it.
- Rigorous: The selected research method needs to be eligible to achieve the declared research goal, and established guidelines need to be mentioned and followed.
- Relevant: Results need to be discussed with respect to how they contribute to RE practice.
- Replicable: Submissions should disclose a replication package.
The organizers encourage the submission of research that yields negative results or provides critical insights into existing methods. Provided that the study offers a rigorous analysis and places its results within a meaningful context for Requirements Engineering practice, it will be fully considered for acceptance.
Formatting and Submission Guidelines
Submissions must be written in English and formatted according to the IEEE formatting instructions. All submissions must be in PDF format. Also, please note that for AIRE the maximum limit page is 10 pages including references.
Key Dates
| Abstract Submission (optional) | May 18th, 2026 |
| Paper Submission | May 25th, 2026 |
| Paper Notification | June 22nd, 2026 |
| Camera Ready Due | July 2nd, 2026 |
| Workshop | Monday, August 17th, 2026 or Tuesday, August 18th, 2026 |
All deadlines are 23:59 Anywhere on Earth (Standard Time).
Submit Here
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