Utilizing Artificial Intelligence Technologies to Enhance the Quality of Visual Output in Commercial Advertisements

Abstract

This study examines the role of artificial intelligence (AI) in enhancing the visual quality of commercial advertisements, focusing on its impact amid digital transformation and the proliferation of media platforms. It aims to explore how AI can be utilized to improve the quality of visual content, automate production processes, and analyze audience data to create more distinctive, effective, and engaging advertisements.

  The study is divided into three main sections: the first section discusses AI applications in enhancing the quality of images and videos, the second focuses on automating production processes, and the third examines the role of AI in analyzing audience data and personalizing advertisements based on their interests and digital behaviors.

  The study adopts a descriptive-analytical approach by reviewing scientific literature and previous studies related to AI applications in the media field, as well as analyzing real-world examples of AI use in commercial advertising. It also addresses the ethical and technical challenges associated with AI.

  The study demonstrates that AI significantly contributes to improving visual output through technologies such as Generative Adversarial Networks (GANs), task automation, and data analysis for ad personalization. It emphasizes the need to balance human creativity with technology while establishing ethical safeguards to protect audience privacy.

In light of these findings, the study recommends adopting AI technologies in visual advertising, training human resources, considering ethical aspects, and enhancing user experience to maximize benefits.