ArticleScience and engineering ethics2021
Advance Car-Crash Planning: Shared Decision Making between Humans and Autonomous Vehicles.
Article in Science and engineering ethics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- "All things equal": ethical principles governing why autonomous vehicle experts change or retain their opinions in trolley problems-a qualitative study.Frontiers in robotics and AI · 2025Article
- Article
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Authors and funding
2 authors at 1 institution in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this article we summarise some previously described proposals for ethical governance of autonomous vehicles ('smart cars'), critique them, and offer an alternative solution. Rather than programming cars to react to crash situations in the same way as humans, having humans program pre-set responses for a wide range of different potential scenarios, or applying particular ethical theories, we suggest that decisions should be made jointly between humans and cars. Given that humans lack the requisite processing capacity, and computers lack the necessary ethical capacity, the medical paradigm of advance care planning can be retooled for this new context. Advance car-crash planning provides a way to combine humans' ethical preferences with the advanced data processing capacities of computers to enable shared decision making in collision situations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.