The Potential Outcomes Framework is a causal inference approach used to estimate the effect of a treatment by comparing what actually happened with what would have happened in a hypothetical scenario without the treatment. It relies on the concept of counterfactuals to address the fundamental problem of causal inference, which is the impossibility of observing both potential outcomes for the same unit simultaneously.