Neuromarketing algorithms’ consumer privacy and ethical considerations: challenges and opportunities

Abstract

AbstractThis 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.

Keywords

• Neuromarketing
• neuroethics
• AI/ML algorithms
• GDPR
• CCPA
• Len Tiu Wright, De Montfort University Faculty of Business and Law, United Kingdom