Neuroimaging Ethics

The body of ethical concerns arising from the use of neural and biometric measurement technologies — EEG, fMRI, eye-tracking, galvanic skin response — in research and commercial applications. Neuroimaging data carries qualitatively higher privacy risk than survey data because it records subconscious mental states, emotional responses, and implicit preferences that participants may not be aware of or able to articulate.

Academic neuroscience research requires Institutional Review Board (IRB) approval before human-subjects collection begins. Commercial neuromarketing is classified as business research and is therefore exempt from IRB oversight, creating a regulatory gap. Core ethical concerns include: the integrity of informed consent (comprehension vs. mere signature), algorithmic bias introduced by non-representative training data in AI-assisted analysis, and the structural conflicts of interest in the three-party agency relationship between brand, research firm, and regulator.