{"id":40802293193,"date":"2026-03-03T15:00:17","date_gmt":"2026-03-03T20:00:17","guid":{"rendered":"https:\/\/www.monmouth.edu\/news\/?p=40802293193"},"modified":"2026-03-11T12:12:51","modified_gmt":"2026-03-11T16:12:51","slug":"prof-wang-and-csse-alumni-publish-on-the-evolution-of-ai-generated-content","status":"publish","type":"post","link":"https:\/\/www.monmouth.edu\/news\/prof-wang-and-csse-alumni-publish-on-the-evolution-of-ai-generated-content\/","title":{"rendered":"Prof. Wang and CSSE Alumni Publish on the Evolution of AI-Generated Content"},"content":{"rendered":"\n<p>Jiacun Wang, Ph.D., professor in the Department of Computer Science and Engineering, and Monmouth software engineering alumni Luobin Cui \u201922M and Chengzhang Zhu \u201921M recently contributed to a study in the <a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=6221021\" target=\"_blank\" rel=\"noreferrer noopener\">IEEE Transactions on Systems, Man, and Cybernetics: Systems<\/a> journal that examines how artificial intelligence has transformed the way digital content is created and what the future may hold for the fast-growing technology.<\/p>\n\n\n\n<p>The article, \u201c<a href=\"https:\/\/ieeexplore.ieee.org\/document\/11238254\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Evolution and Future Perspectives of Artificial Intelligence-Generated Content<\/a>\u201d (Vol. 56, No. 1, 2026), was co-written with Ying Tang, Ph.D., professor and undergraduate program chair of electrical and computer engineering at Rowan University.<\/p>\n\n\n\n<p>The authors explore artificial intelligence-generated content (AIGC), which refers to text, images, audio, or video created by machine learning systems. Their review categorizes the field\u2019s evolution into four key phases: early rule-based systems, statistical approaches, deep-learning frameworks and modern transfer-learning models. According to the authors, examining these transitions through a unified framework helps clarify how different techniques have shaped the capabilities and limitations of AIGC methods.<\/p>\n\n\n\n<p>The study employs examples across these developmental stages to demonstrate how content generation techniques have grown more sophisticated over time, moving from rigid programmed rules to adaptable models capable of producing high-quality and diverse outputs. The authors conclude that as AI tools become more common in business, education, and entertainment, responsible development to ensure accuracy and prevent misuse will be essential.<\/p>\n\n\n\n<p>&#8220;This paper not only traces the evolution of&nbsp;AIGC&nbsp;research and development&nbsp;to its current state-of-the-art capabilities but also provides valuable insights into critical issues surrounding ethics, originality, and human-AI collaboration amid the rapid pace of generative advancements,&#8221; Wang explained. &#8220;I am deeply grateful to my co-authors\u2014particularly my two talented former MSSE students\u2014for their invaluable contributions and dedication in bringing these important insights to light.&#8221;<\/p>\n\n\n\n<p><a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=11238254\" target=\"_blank\" rel=\"noreferrer noopener\">Read the full study.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Monmouth software engineering alumni Luobin Cui \u201922M and Chengzhang Zhu \u201921M partnered with Professor Jiacun Wang to examine how artificial intelligence has transformed the way digital content is created.<\/p>\n","protected":false},"author":22,"featured_media":40802286421,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[218,444,423,170],"tags":[4822],"person":[6653,1020,6651,6654],"audience":[14,386,11,8,50,29,1961],"school":[77,68],"program":[],"class_list":["post-40802293193","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-accomplished-alumni","category-monmouth-now","category-faculty-perspectives","category-research","tag-ai","person-chengzhang-zhu","person-jiacun-wang","person-luobin-cui","person-ying-tang","audience-alumni","audience-community","audience-current-student","audience-faculty","audience-graduate-student","audience-media","audience-parent","school-computer-science-software-engineering","school-school-of-science"],"squareimage":{"id":40802286424,"rendered":"<img width=\"683\" height=\"683\" style=\"object-position: 48.125% 53.31%\" 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