22 May 2025Start
22 May 2028End
AIST
Artificial Intelligence Models, Scalability and Transferability
Status: Ongoing projectSector: DigitalProject reference: 2025/RSF/905Duration: 3 years
Project description
The main objectives are to:
1. Investigate the following items with regards to AI models on Scalability, Transferability and Explainability:
- Scalability and industrialisation - how to scale an AI model from Proof-of- Concept & pilot phases to operation phase, including the Machine Learning Operations (MLOps) lifecycle
- Sharing of datasets
- Explainable Artificial Intelligence (XAI), with a focus on trustworthy AI and its acceptance by railway experts explaining how the AI model achieve a certain decision
- Lessons learned from both successful and unsuccessful projects
- Identification of quick wins
- Best practices from other sectors and industries
- Sharing of pretrained artificial intelligence models
- Future areas of exploration, such as AI standards, model transferability, and AI governance
2. Create a platform for cooperation between experts on AI
Deliverables
- Guideline(s) on best practices, success stories, state-of-play Scalability of AI projects, transferability of AI models
- Report(s) on AIST project activity
Project Members · 9 members
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