A Causal AI Suite for Decision-Making
- Emre Kiciman ,
- Eleanor Dillon ,
- Darren Edge ,
- Adam Foster ,
- Agrin Hilmkil ,
- Joel Jennings ,
- Chao Ma ,
- Robert Osazuwa Ness ,
- Nick Pawlowski ,
- Amit Sharma ,
- Cheng Zhang
Critical data science and decision-making questions across a wide variety of domains are fundamentally causal questions. We present a suite of open-source causal tools and libraries that aims to simultaneously provide core causal AI functionality to practitioners and create a platform for research advances to be rapidly deployed. In this paper, we describe our contributions towards such a comprehensive causal AI suite of tools and libraries, its design, and lessons we are learning from its growing adoption. We hope that our work accelerates use-inspired basic research for improvement of causal AI.