The Controllability of Planning, Responsibility, and Security in Automatic Driving Technology
Dan Wan, Hao Zhan

TL;DR
This paper examines the key aspects of controllability in automated driving technology, focusing on planning, responsibility, and information security, and discusses related issues like trolley dilemmas and information leakage.
Contribution
It clarifies misunderstandings about controllability in automated driving and analyzes issues related to planning, responsibility, and security in this context.
Findings
Identifies core controllability issues in automated driving
Highlights misunderstandings in responsibility attribution
Discusses security and information leakage concerns
Abstract
People hope automated driving technology is always in a stable and controllable state; specifically, it can be divided into controllable planning, controllable responsibility, and controllable information. When this controllability is undermined, it brings about the problems, e.g., trolley dilemma, responsibility attribution, information leakage, and security. This article discusses these three types of issues separately and clarifies the misunderstandings.
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Taxonomy
TopicsAdversarial Robustness in Machine Learning · Ethics and Social Impacts of AI · Advanced Malware Detection Techniques
