AIST

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

Deutsche Bahn AG

Schweizerische Bundesbahnen

Österreichische Bundesbahnen

Administrator de Infraestructuras Ferroviarias

Ferrovie dello Stato Italiane SpA

Coras Iompair Éireann

Infraestruturas de Portugal, S.A.

Guest organisations

Société Nationale des Chemins de fer Français

Network Rail Infrastructure Limited