2018
DOI: 10.1007/s10676-018-9445-9
|View full text |Cite
|
Sign up to set email alerts
|

Automated cars meet human drivers: responsible human-robot coordination and the ethics of mixed traffic

Abstract: In this paper, we discuss the ethics of automated driving. More specifically, we discuss responsible human-robot coordination within mixed traffic: i.e. traffic involving both automated cars and conventional human-driven cars. We do three main things. First, we explain key differences in robotic and human agency and expectation-forming mechanisms that are likely to give rise to compatibility-problems in mixed traffic, which may lead to crashes and accidents. Second, we identify three possible solution-strategi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
36
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 56 publications
(42 citation statements)
references
References 26 publications
0
36
0
Order By: Relevance
“…This way the solution of a moral dilemma should be calculated based on a given set of rules or other mechanisms-although the exact practical details and, most importantly, their corresponding implications, are unclear. The problem of autonomous vehicles regulation is particularly relevant in mixed-traffic scenarios, as stated by Nyholm and Smids [25] and Kirkpatrick [26], as human drivers may behave in unpredictable ways to the machines. This problem could be mitigated by providing human drivers with more technological devices to help them drive more similar to robotic drivers, but mixed traffic ethics certainly introduce much deeper and more difficult problems [25].…”
Section: Related Workmentioning
confidence: 99%
“…This way the solution of a moral dilemma should be calculated based on a given set of rules or other mechanisms-although the exact practical details and, most importantly, their corresponding implications, are unclear. The problem of autonomous vehicles regulation is particularly relevant in mixed-traffic scenarios, as stated by Nyholm and Smids [25] and Kirkpatrick [26], as human drivers may behave in unpredictable ways to the machines. This problem could be mitigated by providing human drivers with more technological devices to help them drive more similar to robotic drivers, but mixed traffic ethics certainly introduce much deeper and more difficult problems [25].…”
Section: Related Workmentioning
confidence: 99%
“…This type of “mixed traffic” is perhaps the most realistic situation to anticipate for the coming years ahead. On the supposition that self‐driving cars would actually be safer than conventional cars, our suggestion was as follows: People have a duty to either switch over to the safer alternative, namely, autonomous cars, or to use or accept added safety precautions when using the less safe alternative, namely, conventional cars (Nyholm & Smids, forthcoming).…”
Section: Part Iii: Crash‐avoidance Strategiesmentioning
confidence: 99%
“…The latter – namely, seeking means for making people drive more like robots – might seem to constrain people's freedom and their personal autonomy on the road. There is a need for more ethical debate about how to handle these sorts of problems with human–robot coordination in this domain, as well as in other domains into which robots are increasingly being introduced (Nyholm & Smids, forthcoming).…”
Section: Part Iii: Crash‐avoidance Strategiesmentioning
confidence: 99%
“…traffic lights). There are also questions about gaps in control of CAVs [2,3] and moral choices by CAVs [4][5][6] that are present for highway traffic, and these are all more potent and amplified in the urban traffic environment [7]. With certain aspects of CAV control being questionable from a purely operational and human acceptance perspective [8,9], the concept of Meaningful Human Control (MHC) has been adopted for Cooperative and Automated Driving (CAD) to explicitly include human moral reasoning and ethical acceptability.…”
Section: Introductionmentioning
confidence: 99%