Dilemma of the Artificial Intelligence Regulatory Landscape
Abstract
As a startup company in the autonomous driving space, we have undergone four years of painful experiences dealing with a broad spectrum of regulatory requirements. Compared to the software industry norm, which spends 13% of their overall budget on compliances, we were forced to spend 42% of our budget on compliances. Our situation is not alone and, in a way, reflects the dilemma of the artificial intelligence (AI) regulatory landscape. The root cause is the lack of AI expertise in the legislative and executive branches, leading to a lack of standardization for the industry to follow. In this article, we share our first-hand experiences and advocate for the establishment of an FDA-like agency to regulate AI properly.
Keywords
Cite
@article{arxiv.2112.09325,
title = {Dilemma of the Artificial Intelligence Regulatory Landscape},
author = {Weiyue Wu and Shaoshan Liu},
journal= {arXiv preprint arXiv:2112.09325},
year = {2023}
}
Comments
Communications of the ACM