We focus on knowledge graphs, conceptual maps, and causal diagrams to provide better understanding and practical skills, with the focus on ethical dimensions in using AI-powered tools, the effects of structural missingness on algorithmic bias, data representation, and model transparency in the context of nutrition science and policy.
The way towards Causal AI
Causal AI aims to go beyond surface-level associations to determine cause-and-effect relationships.
Elena N. Naumova
It’s like a dog and a cat, both highly trained scientists (just go with it) trying to read each other’s journal articles.
Katie Stebbins