Workshops to Support EPA’s Development of Human Health Assessments: Artificial Intelligence and Open Data Practices in Chemical Hazard Assessment

Practical application of systematic review (SR) methods to the peer-reviewed literature and other data sources for chemical hazard identification is labor-intensive and costly. Advances in artificial intelligence hold promise to ease those constraints through semi-automation of SR workflows. Computational approaches have been advanced to interrogate, retrieve, screen, organize, and extract information from published and publicly available data sources. However, study methods and findings reported in the literature are often recorded using highly variable natural language, which can obscure concepts and relationships needed for information retrieval and interpretation. Other limitations include the lack of high-quality training, test, and validation data. This workshop will explore opportunities for using AI methods to enhance chemical hazard assessments and address the associated challenges.

Watch Eitan Agai, Founder discuss PICO Portal at this workshop