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Neurolaw and Judicial Decision-Making: Cognitive Biases, Neuroimaging Reliability, and the Technological Reconfiguration of Admissibility Standards in Corporate Tort Liability

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Zenodo2026-05-22 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.20349771
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Subject: Submission of Research Article: "Neurolaw and Judicial Decision-Making" / Critical Analysis on Evidentiary Reliability Dear Colleagues and Legal Scholars, I am pleased to share my latest research article, titled "Neurolaw and Judicial Decision-Making: Cognitive Biases, Neuroimaging Reliability, and the Technological Reconfiguration of Admissibility Standards in Corporate Tort Liability." This paper addresses the epistemic and normative friction generated by introducing advanced neuroscientific evidence—such as functional Magnetic Resonance Imaging (fMRI) and electroencephalographic Brain Fingerprinting—into judicial processes, with a specific focus on complex corporate tort liability. Using a rigorous dialectical framework, the study evaluates whether the incorporation of neuroscientific data genuinely reduces judicial arbitrariness or if it merely replaces traditional human subjectivity with algorithmic determinism. It confronts the normative ideal of adjudicative rationality with the empirical realities of cognitive vulnerabilities in the judiciary—specifically the "seductive allure of neuroscience explanations"—and technical limitations in modern neuroimaging software. Ultimately, the article proposes a renewed regulatory and procedural framework—the Quadruple-Gate Admissibility Protocol (QGAP)—designed to preserve due process, safeguard cognitive liberty, and maintain non-delegable judicial scrutiny in an increasingly automated legal landscape. The complete text is structured for international legal research platforms and is fully accessible below. I welcome your insights, critiques, and academic dialogue on this rapidly evolving intersection of law, technology, and human behavior. Sincerely, Northon Salomão de Oliveira Jurist and Author
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2026-05-22
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