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AI in Content Creation
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Author(s): Muhammad Adi Zacky Zahran (Universitas Esa Unggul, Indonesia), Binastya Anggara Sekti (Universitas Esa Unggul, Indonesia), Hani Dewi Ariessanti (Universitas Esa Unggul, Indonesia), Diah M. Aryani (Universitas Esa Unggul, Indonesia)and Adi Widiantono (Universitas Esa Unggul, Indonesia)
Copyright: 2027
Pages: 25
Source title:
Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/407616
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Abstract
Artificial Intelligence (AI) is changing how we create digital images. With tools like DALL·E, MidJourney, and Stable Diffusion, anyone can generate high-quality pictures just by typing a description—no art skills needed. These tools use advanced tech like GANs and diffusion models, which learn from huge image datasets to mimic human creativity. GANs work by having one AI create images while another judges them, improving the results over time. Diffusion models start with visual noise and gradually turn it into a clear image, like sharpening a blurry photo. Beyond art, these tools are used in marketing, education, branding, and even medicine. However, there are concerns. Many artists are upset because these models were trained on their work without permission. There's also the risk of misinformation and job loss, and AI art flooding the internet can make it harder for human-made content to stand out. In the end, AI image generation offers amazing opportunities—but it must be used responsibly, with ethical standards and respect for original creators.
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