Izziden, Ahmed, Chennu, Srivas (2018) A Neuroscience Study on the Implicit Subconscious Perceptions of Fairness and Islamic Law in Muslims Using the EEG N400 Event Related Potential. Journal of Cognition and Neuroethics, 5 (2). pp. 21-50. ISSN 2166-5087. (KAR id:66288)
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Abstract
We sought to compare the implicit and explicit views of a group of Muslim graduates on the fairness of Islamic
law. In this preliminary investigation, we used the Electroencephalographic N400 Event Related Potential
to detect the participant’s implicit beliefs. It was found that the majority of participants, eight out of ten,
implicitly held that Islamic Law was unfair despite explicitly stating the opposite. In seeking to understand
what separated these eight participants from the remaining two – the two who both implicitly and explicitly
held that Islamic Law was fair – only two distinguishing characteristics could be identified. Both participants
had undertaken an in-depth study of a branch of Islamic law that places the spirit of the law above that of a
literal interpretation. They had also attended the same seminary, exclusive to the other participants. Of the
eight participants, it was discovered that, while they implicitly held Islamic law to be unfair, they also held it
to be rational – in the same way they found that it was rational to push a person off a ship in order to save the
remaining from drowning, yet unfair. We discuss these preliminary findings and consider theories on how an
innate sense of fairness, an aspect of nativism, may come into play when it is not congruent with a participant’s
own beliefs. Further, we ask, where such an inconsistency occurs, how does the mind attempt to rectify it – if
at all? As a possible contribution to the discussion on theories of nativism vs. empiricism we put forward
a hypothesis and methodology for investigation that may produce previously unconsidered data on human
nature.
Item Type: | Article |
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Uncontrolled keywords: | Law, EEG, N400, Islam, Maqasid, Implicit, Values |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Srivas Chennu |
Date Deposited: | 05 Mar 2018 23:10 UTC |
Last Modified: | 05 Nov 2024 11:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/66288 (The current URI for this page, for reference purposes) |
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