Artificial Intelligence for chemical risk assessment

• DOI: 10.1016/j.comtox.2019.100114
• Publication Date: 2019-11-29T02:49:30Z
• Authors: Clemens Wittwehr; Paul Blomstedt; John Paul Gosling; Tomi Peltola; Barbara Raffael; Andrea-Nicole Ric...; Marta Sienkiewicz; Paul Whaley; Andrew Worth; Maurice Whelan
• Keywords: ta113; 330; 13. Climate action; 610; 01 natural sciences; Article; 0105 earth and related environmental sciences

As the basis for managing risks of chemical exposure, Chemical Risk Assessment (CRA) process can impact a substantial part economy, health hundreds millions people, and condition environment. However, number properly assessed chemicals falls short societal needs due to lack experts evaluation, interference third party interests, sheer volume potentially relevant information on from disparate sources. In order explore ways in which computational methods may help overcome this discrepancy between risk assessments required one hand adequateness actually being conducted other, European Commission's Joint Research Centre organised workshop Artificial Intelligence (AI4CRA). The identified areas where could increase quality regulatory management decisions based CRA, involving simulation, supporting identifying problems, facilitating collaboration, finding experts, evidence gathering, systematic review, knowledge discovery, building cognitive models. Although these are interconnected, they discussed under two main themes: scientific-technical social aspects decision making process.