Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization
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With the rapid advancement of artificial intelligence (AI) technology, the advertising industry is at a crossroads of new opportunities and challenges. This pioneering study provides an in-depth review of AI’s application in advertising, focusing especially on four key elements: Targeting, Personalization, Content Creation, and Ad Optimization. By delving deep into these areas, we uncover the potential of AI in revolutionizing the advertising sector. At the same time, we discuss the pressing ethical issues arising from the current applications of AI in advertising-related fields. Using the VOSviewer software, this study conducts an in-depth analysis of the literature, revealing the intrinsic connections of these four key elements in AI advertising based on computational advertising: Targeting and Personalization are closely linked, jointly determining who gets shown which advertisements. Content Creation generates appealing advertising content through AI during the Personalization process, while Ad Optimization relies on the outcomes of the first three elements, adjusting ad displays to achieve the highest return on investment. This research offers a fresh perspective on understanding AI’s application in advertising, aiding in the responsible and effective use of AI technology for superior ad delivery.
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Clicks, searches, GPS locations, and social media posts are captured often without users' clear consent or awareness and turned into probabilistic guesses about what we will do, want, or buy next.
“In simpler terms: the clicks, searches, GPS locations, and social media posts of everyday life are captured (often without users' clear consent or awareness) and turned into probabilistic guesses about what we will do, want, or buy next (Akter et al., 2022;Bashang & Puttanna, 2023;Gao et al., 2023).”
From Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence (2025) · cites this paper as Gao et al., 2023
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References 75 · Cited by 244
- Authors
- Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y.
- Affiliations
- Jiangxi University of Finance and Economics (CN)
- Corresponding author
- Gao, Biao
- Venue
- Sage Open
- Publisher
- SAGE Publications
- Published
- 2023-10
- Volume
- 13
- Issue
- 4
- ISSN
- 2158-2440 (ISSN-L)
- OpenAlex
- W4389211167
- Cited by
- 244
- References
- 75
- Citations by year
- 2026: 95 · 2025: 113 · 2024: 33 · 2023: 1 · 2022: 2
- FWCI
- 63.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- SAGE Open (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- artificial intelligence in advertising, computational advertising, audience targeting, personalization, responsible AI use, return on investment
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