Moral and social ramifications of autonomous vehicles: a qualitative study of the perceptions of professional drivers.
Saved in:
| Title: | Moral and social ramifications of autonomous vehicles: a qualitative study of the perceptions of professional drivers. |
|---|---|
| Authors: | Dubljević, Veljko, Douglas, Sean, Milojevich, Jovan, Ajmeri, Nirav, Bauer, William A., List, George, Singh, Munindar P. |
| Source: | Behaviour & Information Technology. Jul-Oct2023, Vol. 42 Issue 9, p1271-1278. 8p. |
| Subjects: | Autonomous vehicles, Research methodology, Blue collar workers, Artificial intelligence, Social justice, Interviewing, Qualitative research, Labor supply, Automobile driving, Psychosocial factors, Research funding, Social skills, Motor vehicle occupants, Policy sciences, Motor vehicle safety measures |
| Abstract: | Artificial intelligence raises important social and ethical concerns, especially about accountability, autonomy, dignity, and justice. We focus on the specific concerns arising from how the emerging autonomous vehicle (AV) technology will affect professional drivers. We posit that we must engage with stakeholders to understand the implications of a technology that will affect the stakeholders' lives, livelihoods, or wellbeing. We conducted nine in-depth interviews with professional drivers, with at least two years of driving experience, to understand the ethical and societal challenges from the drivers' perspective during the predicted widespread implementation of AVs. Safety was the most commonly discussed issue, which was mentioned by all drivers (17 times by truck drivers and 18 times by Uber/Lyft drivers). We find that although drivers agree that AVs will significantly impact future transportation systems, they are apprehensive about the prospects of reskilling for other jobs and want their employers to be straightforward in how the introduction of AVs will affect them. Additionally, drivers dismiss the suggestions that driving jobs are unsatisfying and potentially unhealthy and thus should be eliminated. These findings should be considered seriously in decision-making about questions of socioeconomic justice, and could be useful to policymakers as they shape relevant regulations. [ABSTRACT FROM AUTHOR] |
| Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
