Abstract
Many legal decisions center on the thoughts or perceptions of some idealized group of individuals, referred to variously as the “average person,” “the typical consumer,” or the “reasonable person.” Substantial concerns exist, however, regarding the subjectivity and vulnerability to biases inherent in conventional means of assessing such responses, particularly the use of self-report evidence. Here, we addressed these concerns by complementing self-report evidence with neural data to inform the mental representations in question. Using an example from intellectual property law, we demonstrate that it is possible to construct a parsimonious neural index of visual similarity that can inform the reasonable person test of trademark infringement. Moreover, when aggregated across multiple participants, this index was able to detect experimenter-induced biases in self-report surveys in a sensitive and replicable fashion. Together, these findings potentially broaden the possibilities for neuroscientific data to inform legal decision-making across a range of settings.
Original language | English |
---|---|
Article number | eabo1095 |
Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Science advances |
Volume | 9 |
Issue number | 6 |
DOIs | |
Publication status | Published - 10 Feb 2023 |
Bibliographical note
Funding Information:We thank A. Zheng for developing the visual stimuli; S. Gilaie-Dotan, C. Camerer, A. Jenkins, D. Marciano, A. Schultze-Mosgau, B. Vines, M. Sundara Rajan, and the audience at the UC Davis Law School Seminar on Intellectual Property for feedback; C. Wong for programming support; and J. Giffin and A. Won for assistance with data collection. Support was provided by R01 EY024554 (to A.K.) and the UC Berkeley-UCSF Faculty Exchange Program (to M.H.).
Publisher Copyright:
Copyright © 2023 The Authors, some rights reserved.
Funding
We thank A. Zheng for developing the visual stimuli; S. Gilaie-Dotan, C. Camerer, A. Jenkins, D. Marciano, A. Schultze-Mosgau, B. Vines, M. Sundara Rajan, and the audience at the UC Davis Law School Seminar on Intellectual Property for feedback; C. Wong for programming support; and J. Giffin and A. Won for assistance with data collection. Support was provided by R01 EY024554 (to A.K.) and the UC Berkeley-UCSF Faculty Exchange Program (to M.H.).
Funders | Funder number |
---|---|
UC Berkeley-UCSF | |
University of California, Davis | R01 EY024554 |
University of California, Davis |