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Negative Effects of Artificial Intelligence on Digital Marketing
Subject area: Science,Engineering and Technology · Area of research: Information Technology
Abstract
Artificial Intelligence (AI) has revolutionized the way digital marketing operates, enabling marketers to personalize content and ads, optimize campaigns, and achieve better results. However, the rise of AI in digital marketing also comes with negative consequences that can harm both consumers and marketers. This research paper explores the dark side of AI in digital marketing, specifically examining the negative effects that can arise from the use of AI-powered technologies. Using a qualitative research approach, we conducted a systematic review of academic and industry literature, identifying and analyzing case studies and examples of negative effects of AI in digital marketing. Our findings indicate that AI can lead to unintended consequences, such as bias, privacy violations, loss of jobs, and reduced creativity. We discuss the implications of these negative effects for marketers, consumers, and society at large, and provide recommendations for mitigating the risks associated with AI in digital marketing. The paper concludes by arguing that while AI can be a powerful tool for digital marketers, its use must be guided by ethical considerations and a commitment to responsible innovation.
References
[1] Yang, L. (2020). Artificial intelligence and digital marketing: Challenges and opportunities. Journal of Marketing Analytics, 8(1), 1-5. Sun, X., & Zhang, J. (2018). The applications of artificial intelligence in digital marketing. In 2018 15th International Conference on Service Systems and Service Management (ICSSSM) (pp. 1-6). IEEE.
[2] Tien, J. M. (2018). Artificial intelligence and digital marketing. Journal of International Management Studies, 18(3), 63-66.
[3] Huang, E., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
[4] Pang, B., & Lee, L. (2019). Artificial intelligence and trust in the digital age. Harvard Business Review, 97(4), 54-62.
How to cite this paper
@article{1704302,
author = {Adhik Chowhan, Shreyansh Jaiswal, Prof. Deepak Mangal},
title = {Negative Effects of Artificial Intelligence on Digital Marketing},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {10},
pages = {412-416},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1704302.pdf},
abstract = {Artificial Intelligence (AI) has revolutionized the way digital marketing operates, enabling marketers to personalize content and ads, optimize campaigns, and achieve better results. However, the rise of AI in digital marketing also comes with negative consequences that can harm both consumers and marketers. This research paper explores the dark side of AI in digital marketing, specifically examining the negative effects that can arise from the use of AI-powered technologies. Using a qualitative research approach, we conducted a systematic review of academic and industry literature, identifying and analyzing case studies and examples of negative effects of AI in digital marketing. Our findings indicate that AI can lead to unintended consequences, such as bias, privacy violations, loss of jobs, and reduced creativity. We discuss the implications of these negative effects for marketers, consumers, and society at large, and provide recommendations for mitigating the risks associated with AI in digital marketing. The paper concludes by arguing that while AI can be a powerful tool for digital marketers, its use must be guided by ethical considerations and a commitment to responsible innovation.},
month = {April},
}