The AI-Augmented Safety Professional: Enhancing Workflows
Description
Introducing Artificial Intelligence tools or “assistants’ that, if properly implemented enhance Health and Safety.
Highlights
Explores the integration of AI in chemical process safety. Discusses foundation models addressing data scarcity and rare-event imbalance. Covers retrieval-augmented generation for operationalizing unstructured industrial data. Examines vision foundation models for advanced safety monitoring. Identifies key barriers like hallucination risks and privacy constraints. Proposes a roadmap emphasizing expert-supervised synthetic supervision. Emphasizes hybrid workflows integrating physical knowledge and validation layers. Aims to empower human experts with transparent, context-aware reasoning layers. Part of the ACS Fall 2026 meeting. Organized by the Division of Chemical Health & Safety of the ACS.
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