Regulatory and governance mechanisms for self-driving cars: Social equity benefits and machine learning-based ethical judgments

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.