Dilemma of the Artificial Intelligence Regulatory Landscape
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 1 of its 12 references that are in the map. First posted on arXiv 17 Dec 2021.
Builds on
1 of 12 references.
References · 1
Built on by
Citing papers per year: 2022: 1; 2023: 2.
3 papers.
- 2023A Comprehensive Review and Systematic Analysis of Artificial Intelligence Regulation Policiescited by 4
- 2022Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime Healthcare Accesscited by 1
- 2023Compliance Costs of AI Technology Commercialization: A Field Deployment Perspectivecited by 0
- 2023A Comprehensive Review and Systematic Analysis of Artificial Intelligence Regulation Policies23 Jul 2023
- 2023Compliance Costs of AI Technology Commercialization: A Field Deployment Perspective31 Jan 2023
- 2022Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime Healthcare Access11 Apr 2022