JOURNAL ARTICLE

AEJMC Advertising Division 2024 Teaching Pre-Conference Review: AI and Beyond: Synchronizing Timeless Principles in Today's Realities in Advertising Education.

  • Published In: Journal of Advertising Education, 2025, v. 29, n. 1. P. 53 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Spring, Robin; Lou, Shanshan 3 of 3

Abstract

The article summarizes the 27th annual Teaching Pre-Conference organized by the Advertising Division of the Association for Education in Journalism and Mass Communication, which focused on the integration of artificial intelligence (AI) with foundational advertising principles. Industry professionals and educators discussed AI applications across creative content generation, media planning, interface design, and research, emphasizing that AI serves as a tool to enhance rather than replace human creativity and strategic thinking. Key themes included the ethical and legal challenges of AI use, the importance of transparency in client–agency relationships, and the need for advertising curricula to incorporate AI literacy alongside traditional skills. The event highlighted AI's transformative impact on advertising efficiency and creativity while underscoring the continued value of human insight and soft skills in the evolving industry.

Additional Information

  • Source:Journal of Advertising Education. 2025/05, Vol. 29, Issue 1, p53
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2025
  • ISSN:1098-0482
  • DOI:10.1177/10980482251330587
  • Accession Number:184836141
  • Copyright Statement:Copyright of Journal of Advertising Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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