首页|National Institute for Public Health and the Environment Reports Findings in Art ificial Intelligence (The role of trust in the use of artificial intelligence fo r chemical risk assessment)
National Institute for Public Health and the Environment Reports Findings in Art ificial Intelligence (The role of trust in the use of artificial intelligence fo r chemical risk assessment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Bilthov en, Netherlands,by NewsRx journalists, research stated, "Risk assessment of che micals is a time-consuming process and needs to be optimized to ensure all chemi cals are timely evaluated and regulated. This transition could be stimulated by valuable applications of in silico Artificial Intelligence (AI)/Machine Learning (ML) models." The news reporters obtained a quote from the research from National Institute fo r Public Health and the Environment, "However, implementation of AI/ML models in risk assessment is lagging behind. Most AI/ML models are considered ‘black boxe s' that lack mechanistical explainability, causing risk assessors to have insuff icient trust in their predictions. Here, we explore ‘trust' as an essential fact or towards regulatory acceptance of AI/ML models.We provide an overview of the elements of trust, including technical and beyond-technical aspects, and highlig ht elements that are considered most important to build trust by risk assessors. The results provide recommendations for risk assessors and computational modele rs for future development of AI/ML models, including: 1) Keep models simple and interpretable; 2) Offer transparency in the data and data curation; 3) Clearly d efine and communicate the scope/intended purpose; 4) Define adoption criteria; 5 ) Make models accessible and user-friendly; 6) Demonstrate the added value in pr actical settings; and 7) Engage in interdisciplinary settings."
BilthovenNetherlandsEuropeArtifici al IntelligenceChemicalsEmerging TechnologiesMachine Learning
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