Dilemma of the Artificial Intelligence Regulatory Landscape

12/17/2021
by   Weiyue Wu, et al.
0

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 overall budget on compliances, we were forced to spend 42 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.

READ FULL TEXT
research
02/14/2023

Insights on the Next Generation WLAN: High Experiences (HEX)

Wireless local area network (WLAN) witnesses a very fast growth in the p...
research
01/27/2021

Automated Crop Field Surveillance using Computer Vision

Artificial Intelligence is everywhere today. But unfortunately, Agricult...
research
05/23/2023

Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient

Windscreen optical quality is an important aspect of any advanced driver...
research
09/26/2019

Superintelligence Safety: A Requirements Engineering Perspective

Under the headline "AI safety", a wide-reaching issue is being discussed...
research
05/18/2021

AI Based Landscape Sensing Using Radio Signals

In many sensing applications, typically radio signals are emitted by a r...

Please sign up or login with your details

Forgot password? Click here to reset