A Review of Ethical Considerations in AI-Driven Marketing Analytics: Privacy, Transparency, and Consumer Trust
Year: 2021
Type: article
Abstract: This paper provides a comprehensive review of the ethical considerations in AI-driven marketing analytics, focusing on three critical aspects: privacy, transparency, and consumer trust. As artificial intelligence (AI) technologies increasingly shape marketing strategies, concerns surrounding the use of consumer data, the transparency of algorithms, and the impact on consumer trust have gained significant attention. The paper explores the challenges and ethical dilemmas associated with AI-powered marketing tools, such as the risks to consumer privacy, the opacity of decision-making processes in algorithms, and the implications of these issues on consumer trust and business reputation. Additionally, it reviews existing regulatory frameworks and the role of organizations in implementing ethical AI practices. The study highlights the need for businesses to strike a balance between leveraging AI for data-driven marketing and maintaining ethical standards that protect consumer rights and promote trust. The paper concludes with recommendations for improving transparency and privacy in AI systems, advocating for more robust regulatory oversight and ethical guidelines in AI-driven marketing.
Authors: Ifeoluwa Oreofe Oluwafemi, Tosin Clement, Oluwasanmi Segun Adanigbo, Toluwase Peter Gbenle, Bolaji Iyanu Adekunle
Institution: University of Lincoln
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411606599