ARTIFICIAL INTELLIGENCE IN VISUAL CONTENT CREATION AND MEDIA MANAGEMENT
DOI: https://doi.org/10.65725/JCISE/1/2/009
JOURNAL OF COMPUTATIONAL INTELLIGENCE SCIENCE AND ENGINEERING (JCISE)
ISSN: 3107-8168
Volume 1 Issue 2, October 2025
Abstract:
Artificial Intelligence (AI) has significantly transformed the landscape of visual content creation and media management by introducing automation, personalization, and data-driven decision-making into creative and administrative processes. This study explores the integration of AI technologies—such as machine learning, deep learning, computer vision, and natural language processing—into visual media production workflows and content management systems. AI-powered tools now assist in image generation, video editing, visual effects enhancement, automated captioning, facial recognition, and audience analytics, thereby reducing production time and operational costs while enhancing creative possibilities.
The paper further examines how AI-driven algorithms optimize media asset organization, metadata tagging, content recommendation, and predictive audience engagement strategies across digital platforms. By leveraging big data analytics, media organizations can personalize content delivery, improve user experience, and increase audience retention. However, the study also addresses emerging challenges including ethical concerns, copyright issues, algorithmic bias, misinformation, and the evolving role of human creativity in AI-augmented environments. Through a conceptual and analytical review of recent advancements, this research highlights the transformative potential of AI in reshaping visual storytelling, digital marketing, broadcasting, and media governance. The findings suggest that while AI enhances efficiency and scalability in media operations, a balanced human–AI collaboration model is essential to preserve originality, authenticity, and ethical standards in visual communication practices.
Authors: Dr. S. Kumar
Keywords: Artificial Intelligence, Visual Content Creation, Machine Learning, Computer Vision, Media Asset Management, Audience Analytics, Content Personalization, AI Ethics.