When both human and machine drivers make mistakes: Whom to blame?

S Zhai, S Gao, L Wang, P Liu - Transportation research part A: policy and …, 2023 - Elsevier
The advent of automated and algorithmic technology requires people to consider them when
assigning responsibility for something going wrong. We focus on a focal question: who or …

When both human and machine drivers make mistakes: whom to blame?

S Zhai, S Gao, L Wang, P Liu - … research part A: policy and practice, 2023 - safetylit.org
The advent of automated and algorithmic technology requires people to consider them when
assigning responsibility for something going wrong. We focus on a focal question: who or …

When both human and machine drivers make mistakes: Whom to blame?

S Zhai, S Gao, L Wang, P Liu - … Research Part A: Policy and Practice, 2023 - ideas.repec.org
The advent of automated and algorithmic technology requires people to consider them when
assigning responsibility for something going wrong. We focus on a focal question: who or …

When both human and machine drivers make mistakes: Whom to blame?

S Zhai, S Gao, L Wang, P Liu - … Research Part A: Policy and Practice, 2023 - trid.trb.org
The advent of automated and algorithmic technology requires people to consider them when
assigning responsibility for something going wrong. The authors focus on a focal question …

When both human and machine drivers make mistakes: Whom to blame?

S Zhai, S Gao, L Wang, P Liu - Transportation Research Part …, 2023 - econpapers.repec.org
The advent of automated and algorithmic technology requires people to consider them when
assigning responsibility for something going wrong. We focus on a focal question: who or …

When both human and machine drivers make mistakes: whom to blame?

S Zhai, S Gao, L Wang, P Liu - … research part A: policy and practice, 2023 - safetylit.org
The advent of automated and algorithmic technology requires people to consider them when
assigning responsibility for something going wrong. We focus on a focal question: who or …