Causal Inference, Instrumental Variable, Ab Testing, Encouragement Design, Average Treatment Effect.
algorithms have been flagged as being racially biased, or they fail spectacularly when context changes. This is because current models learn mere associations with no notion of causal relationships (Sgaier et al, 2020). Techniques of causal inference, have only recently gained attention. Many