Unsafe at any level

Author:

Canellas Marc1,Haga Rachel2

Affiliation:

1. New York University School of Law in New York, NY

2. Data Scientist at Elicit Insights in New York, NY

Abstract

The U.S. NHTSA's levels of automation are a liability for automated vehicles.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference17 articles.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fighting for What’s Right: An Interview With Marc Canellas;IEEE Software;2024-03

2. Utilizing Transfer Learning in the Udacity Simulator to Train a Self-Driving Car for Steering Angle Prediction;2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS);2023-11-21

3. A trajectory prediction method based on graph attention mechanism;Applied Mathematics and Nonlinear Sciences;2023-06-30

4. What Futures? Reflections on the Temporal Plurality of Innovation Processes;Innovationsgesellschaft heute;2023

5. Guiding Preferred Driving Style Using Voice in Autonomous Vehicles: An On-Road Wizard-of-Oz Study;Designing Interactive Systems Conference 2021;2021-06-28

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