The Influence of Generative AI and Digital Clones on Consumer Trust and Ethical Perception in Advertising
Adesina Toheeb Damilola, Samuel Okon Ekpeowoh, Gershom Randy Mensah, Adeyemi Adewunmi Olalemi, Moyosoreoluwa Odugbesan, Olabode Soetan
Current Journal of Applied Science and Technology · pp. 80–90 · Published 14 Jul 2025
10.9734/cjast/2025/v44i74575Abstract
Objective: Digital clones and generative AI have become ground-breaking technologies in the advertising industry because they provide increased customisation, allowing companies to produce highly targeted ads that speak to the consumers’ needs. The extensive use of AI and digital clones raises serious questions about customer trust and ethical attitudes in advertising, despite the potential advantages. With an emphasis on the roles of authenticity, transparency, and manipulation, this study investigates how these technologies affect customer views. Methodology: This study used a secondary research method, analyzing scholarly articles, industry reports, and case studies to explore how generative AI and digital clones impact consumer trust and ethical perceptions in advertising. Finding: The study emphasizes that although AI-generated ads are typically accepted when they seem genuine and transparent, there are worries about their realism, particularly when digital clones are employed, which can cause unease and damage credibility. According to the findings, advertisers must put transparency and ethical responsibility first in order to preserve consumer confidence, even while AI offers a potential way to improve customer engagement. Suggestions: In order to overcome these obstacles, the paper ends with suggestions for legislators and advertisers that support moral behaviour that upholds consumer rights and fosters authenticity.
Cited by 0
No indexed citations yet.
Related research
- AI-Driven Agricultural Advisory and Diagnostic Systems for Smallholder Farming: Technical Architectures, Evidence and Deployment Priorities for North-East India — shares topic coverage
- Impact of Generative AI in Academic Integrity and Learning Outcomes: A Case Study in the Upper East Region — shares topic coverage
- Enhancing College English Writing Instruction: Leveraging AI for Teachers and Learners in China and Beyond — shares topic coverage
- Artificial Intelligence and Large Language Models in Agricultural Extension: Critical Synthesis of Adoption, Efficacy, and Equity in Smallholder Advisory Systems — shares topic coverage
- Measuring Writing Identity in AI-Mediated ESP Contexts: A Case Study from China — shares topic coverage
Article metrics
Real usage data collected on this platform.
33
Page views
0
PDF downloads
3
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.