acm.org3d
Causal Inference Makes Sense of AI
By combining scientific knowledge and data, Causal AI models can discover valid links that might otherwise go unnoticed.
ssir.org1y
The Case for Causal AI
There are two approaches to causal AI that are based on long-known principles: the potential outcomes framework and causal graph models. Both approaches make it possible to test the effects of a ...
Cambridge University Press7d
What Is Perceived When Race Is Perceived and Why It Matters for Causal Inference and Discrimination Studies
In particular, we will draw on critical race theory (CRT) to examine the sociological and normative assumptions upon which the prevailing framework of causal inference about race has been built, and ...
Cambridge University Press2y
Causal Inference for Statistics, Social, and Biomedical Sciences
Carol Joyce Blumberg, International Statistical Review 'Guido Imbens and Don Rubin present an insightful discussion of the potential outcomes framework for causal inference … this book presents a ...