We propose that intelligently combining models from the domains of Artificial Intelligence or Machine Learning with Physical and Expert models will yield a more "trustworthy" model than any one model from a single domain, given a complex and narrow enough problem. Based on mean-variance portfolio theory and bias-variance trade-off analysis, we prove combining models from various domains produces a model that has lower risk, increasing user trust. We call such combined models - physics enhanced artificial intelligence (PEAI), and suggest use cases for PEAI.
@article{arxiv.1903.04442,
title = {Physics Enhanced Artificial Intelligence},
author = {Patrick O'Driscoll and Jaehoon Lee and Bo Fu},
journal= {arXiv preprint arXiv:1903.04442},
year = {2019}
}