<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>122(21)</volume><submitter>Lu H</submitter><pubmed_abstract>Autonomous vehicles (AVs) will soon cruise our roads as a global undertaking. Beyond completing driving tasks, AVs are expected to incorporate ethical considerations into their operation. However, a critical challenge remains. When multiple road users are involved, their impacts on AV ethical decision-making are distinct yet interrelated. Current AVs lack social sensitivity in ethical decisions, failing to enable both differentiated consideration of road users and a holistic view of their collective impact. Drawing on research in AV ethics and neuroscience, we propose a scheme based on social concern and human-plausible cognitive encoding. Specifically, we first assess the individual impact that each road user poses to the AV based on risk. Then, social concern can differentiate these impa</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pagination>e2401626122</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12130892</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Empowering safer socially sensitive autonomous vehicles using human-plausible cognitive encoding.</pubmed_title><pmcid>PMC12130892</pmcid><pubmed_authors>Yang H</pubmed_authors><pubmed_authors>Zhu M</pubmed_authors><pubmed_authors>Lu H</pubmed_authors><pubmed_authors>Lu C</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Feng S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Empowering safer socially sensitive autonomous vehicles using human-plausible cognitive encoding.</name><description>Autonomous vehicles (AVs) will soon cruise our roads as a global undertaking. Beyond completing driving tasks, AVs are expected to incorporate ethical considerations into their operation. However, a critical challenge remains. When multiple road users are involved, their impacts on AV ethical decision-making are distinct yet interrelated. Current AVs lack social sensitivity in ethical decisions, failing to enable both differentiated consideration of road users and a holistic view of their collective impact. Drawing on research in AV ethics and neuroscience, we propose a scheme based on social concern and human-plausible cognitive encoding. Specifically, we first assess the individual impact that each road user poses to the AV based on risk. Then, social concern can differentiate these impa</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 May</publication><modification>2026-06-05T15:53:31.695Z</modification><creation>2026-06-05T03:06:24.322Z</creation></dates><accession>S-EPMC12130892</accession><cross_references><pubmed>40388625</pubmed><doi>10.1073/pnas.2401626122</doi></cross_references></HashMap>