Regulatory and Governance Mechanisms for Self‐Driving Cars: Social Equity Benefits and Machine Learning-based Ethical Judgments
Regulatory and Governance Mechanisms for Self‐Driving Cars: Social Equity Benefits and Machine Learning-based Ethical Judgments
Author(s): Miloš Poliak, Andrew Baker, Vladimir Konečný, Elvira NicaSubject(s): Ethics / Practical Philosophy, Transport / Logistics
Published by: Addleton Academic Publishers
Keywords: regulatory; governance; self-driving; car; machine learning; ethics;
Summary/Abstract: The aim of this paper is to synthesize and analyze existing evidence on regulatory and governance mechanisms for self-driving cars. Using and replicating data from AUDI AG, Axios, BikePGH, Deloitte, Ipsos, Kennedys, McKinsey, and Statista, we performed analyses and made estimates regarding social equity benefits and machine learning-based ethical judgments. Data were analyzed using structural equation modeling.
Journal: Contemporary Readings in Law and Social Justice
- Issue Year: 12/2020
- Issue No: 1
- Page Range: 58-64
- Page Count: 7
- Language: English
- Content File-PDF