Why is Transparency Important in AI for Toxicology?
Transparency in AI systems used in toxicology is crucial because it builds trust among stakeholders, including researchers, regulators, and the public. When AI models are transparent, it means that the methodologies, data sources, and decision-making processes are open and accessible for examination. This transparency is vital for ethical reasons and ensures that the models' predictions can be scrutinized and validated by independent parties, leading to more reliable outcomes.
