Cited by 244Marketing and Advertising StrategiesDigital Marketing and Social MediaAI in Service Interactions

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Open access
Gao, Biao, Wang, Yiming, Xie, Huiqin, Hu, Yi, Hu, Yi·2023·Sage Open

Abstract

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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Crossref · 10.1177/21582440231210759

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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).”

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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
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
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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