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

Guest organisations