Tech4HSE AI Trust and Trustworthiness in HSE: Data, Systems, Interaction, and Acceptance

An AI4HSE prototype that1. Continuous dialogue between different stakeholders and language models with working environment data, that may keep changing, to provide best practice, patterns, technical guardrail at system level. (Theme#1: Responsible Data Lifecycle Management, Theme#3: Trusted LLM and knowledgeInteraction)2. Adjusts the depth and complexity of its explanations based on the user's profile (e.g., a simplified, actionable interface for frontline workers and a more detailed, analytic one for management). The interface might include explanation dashboards detailing the data sources and the logic utilized, and visualizations and textual descriptions of the decision-making processes of AI models. (Theme#2: Explainable HSE, Theme#4 Theme #4: Scenario-driven AI acceptance)