Journal Article FZJ-2019-05596

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Neuroimaging-based prediction of mental traits: Road to utopia or Orwell?

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2019
PLoS Lawrence, KS

PLoS biology 17(11), e3000497 () [10.1371/journal.pbio.3000497]

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Abstract: Predicting individual mental traits and behavioral dispositions from brain imaging data through machine-learning approaches is becoming a rapidly evolving field in neuroscience. Beyond scientific and clinical applications, such approaches also hold the potential to gain substantial influence in fields such as human resource management, education, or criminal law. Although several challenges render real-life applications of such tools difficult, future conflicts of individual, economic, and public interests are preprogrammed, given the prospect of improved personalized predictions across many domains. In this Perspective paper, we thus argue for the need to engage in a discussion on the ethical, legal, and societal implications of the emergent possibilities for brain-based predictions and outline some of the aspects for this discourse.

Classification:

Contributing Institute(s):
  1. Gehirn & Verhalten (INM-7)
Research Program(s):
  1. 571 - Connectivity and Activity (POF3-571) (POF3-571)

Appears in the scientific report 2019
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Life Sciences ; DOAJ Seal ; Ebsco Academic Search ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; PubMed Central ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record
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Dokumenttypen > Aufsätze > Zeitschriftenaufsätze
Institutssammlungen > INM > INM-7
Workflowsammlungen > Öffentliche Einträge
Publikationsdatenbank
Open Access

 Datensatz erzeugt am 2019-11-15, letzte Änderung am 2021-01-30


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