Neuromarketing algorithms’ consumer privacy and ethical considerations: challenges and opportunities
Abstract
This research investigates the ethical and privacy issues arising from using AI andML in neuromarketing, framed by rule utilitarianism. It assesses the impact of these technologies on consumerprivacy and human rights through a combination of literature review, bibliometric analysis, and empirical data fromsurveys and interviews with experts in the US and Spain. The study reveals the tensions between the efficacy ofneuromarketing techniques and the imperative to protect consumer privacy, particularly in light of the GDPR’sinfluence on global practices. It emphasizes the need for internationally consistent ethical standards and consumerdata regulations, drawing from the comparative analysis of policies in the US and EU. The outcomes include policyrecommendations to minimize ethical risks and promote the responsible progression of neuromarketing. Theserecommendations guide companies and managers toward ethical transparency and accountability. Additionally, theresearch offers a policy framework for crafting ethical neuromarketing practices that reconcile technological progresswith consumer well-being, thereby contributing to broader discussions on embedding ethics within technological innovation.
Cite this
Marcus V. Goncalves, Irene Aliagas, Luis Manuel Cerdá Suárez (2024). Neuromarketing algorithms’ consumer privacy and ethical considerations: challenges and opportunities. Cogent Business & Management. https://doi.org/10.1080/23311975.2024.2333063
@article{v2024neuromarketing,
title = {Neuromarketing algorithms’ consumer privacy and ethical considerations: challenges and opportunities},
author = {Goncalves, Marcus V. and Aliagas, Irene and Suárez, Luis Manuel Cerdá},
year = {2024},
journal = {Cogent Business & Management},
doi = {10.1080/23311975.2024.2333063}
}Citations in this library
Stored only when both papers are in the corpus — 73 citations exist upstream.