Regulating Autonomy: An Assessment of Policy Language for Highly Automated Vehicles

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Abstract

Self-driving cars (also known as driverless cars, autonomous vehicles, and highly automated vehicles [HAVs]) will change the regulatory, political, and ethical frameworks surrounding motor vehicles. At the highest levels of automation, HAVs are operated by independent machine agents, making decisions without the direct intervention of humans. The current transportation system assumes human intervention though, including legal and moral responsibilities of human operators. Has the development of these artificial intelligence (AI) and autonomous system (AS) technologies outpaced the ethical and political conversations? This paper examines discussions of HAVs, driver responsibility, and technology failure to highlight the differences between how the policy-making institutions in the United States (Congress and the Public Administration) and technology and transportation experts are or are not speaking about responsibility in the context of autonomous systems technologies. We report findings from a big data analysis of corpus-level documents to find that enthusiasm for HAVs has outpaced other discussions of the technology.

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Schuelke-Leech, B. A., Jordan, S. R., & Barry, B. (2019). Regulating Autonomy: An Assessment of Policy Language for Highly Automated Vehicles. Review of Policy Research, 36(4), 547–579. https://doi.org/10.1111/ropr.12332

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