Trustworthy Generative AI for Advanced Industrial DigitaliZation (Trust_Gen_Z)

Purpose and goal:

The Trust_Gen_Z project applies generative AI (gAI) to enhance prescriptive analytics in industrial digitalisation. By developing a multimodal framework, we aim to optimise decision-making by providing actionable insights and clear explanations for system outcomes. This will improve the inspection, monitoring, optimisation, and maintenance of industrial machinery and equipment.

Expected results and effects: - Reports on Data management plan (M30), Project dissemination plan (M36) - A novel XAI methods and algorithms for gAI (M24) (1 Journal and 1 Conference papers) - Interactive Intelligence tools (M20) (1 Journal and 1 Workshop papers) - A new gAI-based framework for prescriptive analytics (M30) (1 Journal and 1

Conference papers) - Reports on validation plan (M24) and demonstrations (M36) (2 Conference papers) Approach and implementation: WP1: Project Management and Dissemination, Lead MDU Start Month (M) 1 End Month (M) 36 WP2: Inference to Best Explanation for gAI, Lead Ericsson Start Month (M) 1 End Month (M)

WP3: Generative AI for Interaction Intelligence, Lead MDU Start Month (M) 4 End Month (M) 24 WP4: Prescriptive Analytics for Sustainable Digital Transformation, Lead VCE Start Month (M) 12 End Month (M) 30 WP5: Test, Validation and Demonstration, Lead MainlyAI Start Month (M) 18 End Month (M) 36