Journal of Intelligent Marketing Management

Journal of Intelligent Marketing Management

Legal and Ethical Analysis of the Use of Artificial Intelligence in Targeted Advertising (Case Study: Digikala)

Document Type : The scientific research paper

Author
Master of Science, Private Law, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Abstract
This study aims to examine the legal and ethical dimensions of using artificial intelligence in targeted advertising, particularly on e-commerce platforms like Digikala. Given the increasing use of AI technologies in digital marketing, the research analyzes the legal and ethical challenges and opportunities related to the collection and use of personal data in targeted advertising. The research method is thematic analysis, where 32 main themes were extracted from qualitative data. These themes were categorized into six main categories: privacy, transparency, accountability, legal oversight, discrimination, and social impacts. The results indicate that Digikala should pay special attention to privacy and transparency when using consumer data to maintain customer trust. Furthermore, issues such as discrimination in advertising and the need for effective legal oversight over AI systems in targeted advertising are of high importance. As a result, Digikala should adopt comprehensive legal and ethical frameworks for managing its targeted advertising to adhere to both legal and ethical responsibilities and prevent the negative impacts of these technologies.
Keywords

احمدی، م.، صدیقی، ف. (1401). تحلیل تبعیض‌های الگوریتمی در تبلیغات دیجیتال با رویکرد تحلیل داده‌های کلان. فصلنامه تحقیقات هوش مصنوعی و اخلاق، 5(2)، 47-64.
جلالی، ن.، نوروزی، ک. (1400). تأثیر استفاده از هوش مصنوعی بر توسعه الگوهای تبلیغاتی اخلاق‌مدار در کسب‌وکارهای کوچک. مجله فناوری و کسب‌وکار، 12(3)، 28-45.
دهقان‌پور، س.، ابراهیمی، ر. (1402). تأثیر تنظیم مقررات حریم خصوصی بر عملکرد سامانه‌های تبلیغات هوشمند. فصلنامه حقوق فناوری، 6(1)، 17-34.
کریمی، ع.، کاظمی، ه. (1399). تأثیر تحلیل داده‌های کلان بر شفافیت در تبلیغات هدفمند. مجله پژوهش‌های بازاریابی دیجیتال، 10(4)، 72-89.
منصوری، م.، همکاران. (1403). بررسی تأثیر الگوریتم‌های یادگیری ماشین بر پیش‌بینی رفتار مصرف‌کننده در تبلیغات هدفمند. مجله تحقیقات هوش مصنوعی کاربردی، 7(2)، 55-71.
Binns, R. (2021). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT), 149–159. https://doi.org/10.1145/3442188.3445885
Floridi, L. (2020). The ethics of artificial intelligence: Principles, challenges, and opportunities. AI Society, 35(1), 1–13. https://doi.org/10.1007/s00146-019-00945-5
Harper, J., Marshall, K. (2020). Analysis of privacy laws in targeted advertising and artificial intelligence. Journal of Information Technology Law, 15(2), 49-66.
Jones, T., colleagues. (2023). An analysis of the impact of artificial intelligence on the effectiveness of targeted advertising based on personal data. Journal of Digital Marketing, 12(4), 99-115.
Kaminski, M. E., Malgieri, G. (2020). Algorithmic impact assessments under the GDPR: Producing multi-layered explanations. International Data Privacy Law, 10(3), 208–222. https://doi.org/10.1093/idpl/ipaa002
Li, Z., Chang, Y. (2022). Ethical challenges of using big data in targeted advertising. Quarterly Journal of Ethics and Technology, 28(3), 75-90.
Shah, H., Murthy, P. (2021). Psychological vulnerabilities in AI-driven advertising: Ethical challenges. Journal of Business Ethics, 174(3), 495–509. https://doi.org/10.1007/s10551-020-04563-2
Taddeo, M., Floridi, L. (2021). How AI can be a force for good. Science, 361(6404), 751–752. https://doi.org/10.1126/science.aat5991
Vandera, S., Davis, J. (2020). Ethical dynamics in the use of artificial intelligence in digital advertising. Journal of Marketing and Consumer Behavior, 8(1), 33-48.
Williams, E., White, L. (2021). Artificial intelligence and discrimination in targeted advertising: An analysis of social and legal issues. Journal of Big Data Analysis, 18(2), 24-40.
Zuiderveen Borgesius, F. J. (2020). Strengthening legal protection against discrimination by algorithms and artificial intelligence. The International Journal of Human Rights, 24(10), 1572–1593. https://doi.org/10.1080/13642987.2020.1743976
 
Volume 5, Issue 1 - Serial Number 23
Spring 2024
Pages 334-350

  • Receive Date 13 February 2025
  • Revise Date 26 December 2023
  • Accept Date 24 April 2024