Author(s):
1. Predrag Dašić, SaTCIP Publisher Ltd., 36610 Vrnjačka Banja i Visoka tehnička mašinska škola strukovnih studija (VTM, Serbia
2. Dragoljub Mirjanić, Akademija nauka i umjetnosti Republike Srpske, Republic of Srpska, Bosnia and Herzegovina
3. Esad Jakupović, Academy of Sciences and Arts of the Republic of Srpska, Bana Lazarevića 1, 78000 Banja Luka, Republi, Republic of Srpska, Bosnia and Herzegovina

Abstract:
Artificial Intelligence Generated Content (AIGC) is a new content creation method that complements traditional content creation approaches such as: Professional Generated Content (PGC), User Generated Content (UGC) and Human Generated Content (HGC) with the help of Artificial Intelligence (AI). AIGC uses all the advantages of generative artificial intelligence (GAI or GenAI) and large language models (LLM), so it is presented and defined by a large number of authors and in a large number of publications as the same or also known as GAI. AIGC is a specific field of application of artificial intelligence (AI) and a promising technology with numerous applications, which focuses on artificial intelligence (AI) to imitate human creativity and expression to generate various forms of content, such as: text, images, audio content, videos, etc. To write content, they use methods: artificial intelligence assisted writing (AIAW) and artificial intelligence generated writing (AIGW). They are used for all areas of human activity, such as: natural-mathematical and engineering areas, social-humanistic areas, art, etc. AIGC technology appeared in 2023, and so far approximately one thousand publications have been published in WoS, Scopus and others. citation databases. Some of the applications developed as AIGC are: ChatGPT (Chatbot GPT (Generative Pre-Trained Transformer)) by OpenAI; DVD-GAN (DVD (Dual Video Discriminator) GAN (Generic Adversarial Network)) by DeepMind; GPT-Neo (GPT (Generative Pre-Trained Transformer) Neo) by EleutherAI; GPT-Neo-CRV (GPT-Neo (Generative Pre-Trained Transformer Neo) with CRV (Cross-Referential Validation)); LaMDA (Language Model for Dialogue Applications) by Google; SD (Stable Diffusion) from Stability.AI; StyleGAN (Style GAN (Generic Adversarial Network)) from NVIDIA; Turing-NLG (Turing NLG (Natural Language Generation)) by Microsoft etc. The aforementioned software systems and tools can play a useful role in the content creation process as assistants in content writing, with the caveat that they are not capable of producing original content if specific needs are required. However, it should also be noted that software tools such as contentdetector AI have been developed that can help identify and analyze content generated by artificial intelligence (AI), ensuring authenticity and originality.

Key words:
Artificial intelligence (AI),generative artificial intelligence (GAI or GenAI),large language models (LLM),artificial intelligence generated content (AIGC),content.

Thematic field:
SYMPOSIUM A - Science of matter, condensed matter and physics of solid states

Date of abstract submission:
14.08.2025.

Conference:
Contemporary Materials 2025 - Savremeni Materijali

Abstract