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| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Computational and neurobiological foundations of leadership decisions |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Science |
| Publisher | American Association for the Advancement of Science |
| Geographical Reach | international |
| ISSN | 0036-8075 |
| Volume | 361 |
| Number | 6401 |
| Page Range | online |
| Date | 2018 |
| Abstract Text | Decisions as diverse as committing soldiers to the battlefield or picking a school for your child share a basic attribute: assuming responsibility for the outcome of others. This responsibility is inherent in the roles of prime ministers and generals, as well as in the more quotidian roles of firmmanagers, schoolteachers, and parents. Here we identify the underlying behavioral, computational, and neurobiologicalmechanisms that determine the choice to assume responsibility over others. Leaders must take responsibility for others and affect the well-being of individuals, organizations, and nations. We identify the effects of responsibility on leaders’ choices at the behavioral and neurobiological level and document the widespread existence of responsibility aversion, i.e., a reduced willingness to make decisions if the welfare of others is at stake. In mechanistic terms, basic preferences towards risk, losses and ambiguity do not explain responsibility aversion which, instead, is driven by a second-order cognitive process reflecting an increased demand for certainty about the best choice when others’ welfare is affected. Finally, models estimating levels of information flow between brain regions processing separate choice components, provide the first step in understanding the neurobiological basis of individual variability in responsibility aversion and leadership scores. We identify and characterize the computations and neural mechanisms underlying choices to lead. |
| Free access at | DOI |
| Official URL | http://science.sciencemag.org/content/361/6401/eaat0036 |
| Digital Object Identifier | 10.1126/science.aat0036 |
| Other Identification Number | merlin-id:16663 |
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| Keywords | Multidisciplinary |