Current US Federal Policy Framework for Self-Driving Vehicles: Opportunities and Challenges

Hanna, Mina J.; Kimmel, Shawn

doi:10.1109/mc.2017.4451211

Cited by 21 publications

(6 citation statements)

References 1 publication

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“…Conceptual work in this field has focused on topics such as data privacy (Schoonmaker, 2016), liability and insurance (Collingwood, 2017;Schellekens, 2015;Taeihagh & Lim, 2018), regulatory impediments (Hanna & Kimmel, 2017), and ethical aspects of the role of AVs in society and the prioritization of human life in various crash scenarios (Goodall, 2017;Sparrow & Howard, 2017). These conceptual analyses highlight the need for numerous complex issues to be resolved to ensure that a migration to an autonomous fleet will bring substantially more advantages than disadvantages.…”

Section: Introductionmentioning

confidence: 99%

Dimensions of attitudes to autonomous vehicles

Pettigrew

Worrall

Talati

et al. 2019

Urban, Planning and Transport Research

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For the benefits of autonomous vehicles (AVs) to be optimized, the fleet conversion process needs to be efficient and timely. This study explored public attitudes to AVs to inform strategies to increase receptivity to the wide-scale use of AVs. A national online survey was administered to a sample of 1,624 Australians aged 16+ years. The survey featured open-ended questions that scoped respondents' perceptions of AVs. A grounded, thematic analysis identified two primary dimensions in the data: response valence (how positive or negative the comments were about the advent of AVs) and response type (the extent to which the comments reflected a cognitive or emotional response). This resulted in a dimensional analysis featuring four quadrants that captured the topics that were most frequently raised spontaneously by respondents. The quadrant characterized by comments that were positive/neutral and cognitive in nature was the most substantial, indicating general acceptance. Where concerns were expressed, they typically related to perceived safety, trust, and control issues, and tended to be more emotional in nature. The results highlight the importance of providing the public with concrete information about AVs to address fear levels and to resolve trust and control issues.

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Section: Introductionmentioning

confidence: 99%

Dimensions of attitudes to autonomous vehicles

Pettigrew

Worrall

Talati

et al. 2019

Urban, Planning and Transport Research

View full text Add to dashboard Cite

show abstract

“…Given conservatives' higher levels of individualism (Van Lange et al, 2012) and lower levels of openness (Hirsh et al, 2010), and that AVs are a new technology expected to disrupt the current economic and social hierarchy (Hanna & Kimmel, 2017;Papa & Ferreira, 2018), we predicted that conservatives, compared to liberals, would have more negative initial attitudes-less liking, less trusting, and more viewing as dangerous-toward AVs. Liberals, more than conservatives, enjoy novelty and value social change, egalitarianism, and justice, including for the environment (Feinberg & Willer, 2013;Jost et al, 2008;Kerlinger, 1984).…”

Section: The Current Workmentioning

confidence: 99%

Making the right turn: The association between political conservatism versus liberalism and attitudes toward automated vehicles over time.

Maranges¹,

Chen²,

McManus³

2022

Technology, Mind, and Behavior

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Adoption of automated vehicles (AVs) depends on political will. This work investigates how political ideology relates to attitudes toward AVs and attitude updating with new information, how knowledge plays a role, and how these processes vary across time depending on cultural context in the United States. In 2018 (Study 1), Conservatives' initial attitudes toward AVs were less positive than liberals' (i.e., less liking, trusting, and higher ratings of danger), but there was no difference in perceptions of understanding AVs. After reading the benefits of AVs, conservatives, versus liberals, demonstrated larger, positive changes in their attitudes (i.e., trusting increased and danger decreased), but also a decrease in understanding. Notably, liberals knew more about AVs than did conservatives. In 2021, when liking of Elon Musk, and hence AVs, may be polarized, we see the opposite pattern (Study 2): conservatives like Elon Musk, know much about, and report relatively positive attitudes and intentions to use and purchase AVs, compared to liberals. This work suggests that partisans' attitudes toward novel technological entities such as AVs are shaped by a complex confluence of cultural contributors, including epistemic and social ones.

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“…Furthermore, this lack of clarity extends to the boundaries of legal responsibility and the responsibility of parties involved in legal disputes. In the event of collisions leading to loss of property, or worse, loss of life, the party responsible for reparations is unclear [4]. The Mercedes-Benz automotive corporation has announced that its self-driving vehicles will be 1 The breach occurred in 2014 and the apology was published in March 2018.…”

Section: Introductionmentioning

confidence: 99%

Artifacts for Towards Achieving Trust Through Transparency and Ethics [RE 21]

Kwan,

Cysneiros,

Leite

2021

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The ubiquitous presence of software in the products we use, together with Artificial Intelligence in these products, has led to an increasing need for consumer trust. Consumers often lose faith in products, and the lack of Trust propagates to the companies behind them. This is even more so in mission-critical systems such as autonomous vehicles and clinical support systems. This paper follows grounded theory principles to elicit knowledge related to Trust, Ethics, and Transparency. We approach these qualities as Non-Functional Requirements (NFRs), aiming to build catalogs to subsidize the construction of Socially Responsible Software. The corpus we have used was built on a selected collection of literature on Corporate Social Responsibility, with an emphasis on Business Ethics. Our challenge is how to encode the social perspective knowledge, mainly through the view of Corporate Social Responsibility, on how organizations or institutions achieve trustworthiness. Since our ground perspective is that of NFRs, results are presented by a catalogue of Trust as a Non-Functional Requirement, represented as a Softgoal Interdependency Graph (SIG). The SIG language helps software engineers in understanding alternatives they have to improve Trust in software products.

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Current US Federal Policy Framework for Self-Driving Vehicles: Opportunities and Challenges

Cited by 21 publications

References 1 publication

Dimensions of attitudes to autonomous vehicles

Dimensions of attitudes to autonomous vehicles

Making the right turn: The association between political conservatism versus liberalism and attitudes toward automated vehicles over time.

Artifacts for Towards Achieving Trust Through Transparency and Ethics [RE 21]

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