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    생성형 인공지능에 의한 콘텐츠 저작과 유통 환경의 변화에 따른 정책 제언 = Policy Proposals in Response to Changes in the Authoring and Distribution Environment of Contents by Generative Artificial Intelligence

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    https://www.riss.kr/link?id=A108686977

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This paper examines the impact of generative artificial intelligence (AI) on content authoring and its potential to improve productivity in the content industry. Generative AI, capable of generating outputs similar to or distinct from user input, is evolving into a form with multi-modal complex intelligence, thanks to hyper-scale AI infrastructure. While generative AI tools have the potential to improve productivity in content production and bring about changes in the distribution environment, they can also have social side effects within the content industry. In particular, through the exploration of Digital Aura's rediscovery, we explore into key strategic issues concerning the industry's development in the content sector and the establishment of a sustainable ecosystem.
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    This paper examines the impact of generative artificial intelligence (AI) on content authoring and its potential to improve productivity in the content industry. Generative AI, capable of generating outputs similar to or distinct from user input, is e...

    This paper examines the impact of generative artificial intelligence (AI) on content authoring and its potential to improve productivity in the content industry. Generative AI, capable of generating outputs similar to or distinct from user input, is evolving into a form with multi-modal complex intelligence, thanks to hyper-scale AI infrastructure. While generative AI tools have the potential to improve productivity in content production and bring about changes in the distribution environment, they can also have social side effects within the content industry. In particular, through the exploration of Digital Aura's rediscovery, we explore into key strategic issues concerning the industry's development in the content sector and the establishment of a sustainable ecosystem.

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    참고문헌 (Reference)

    1 Paresh Kharya, "Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model" NVIDIA Developer, Technical Blog

    2 Walter Benjamin, "The work of Art in the Age of Mechanical Reproduction"

    3 Peter Hinssen, "The New Normal : Explore the limits of the digital world"

    4 K. Vassilev, "The Aura of the Object and the Work of Art: A Critical Analysis of Walter Benjamin’s Theory in the Context of Contemporary Art and Culture" 12 (12): 11-, 2023

    5 Z. Ji, "Survey of Hallucination in Natural Language Generation" 1 (1): 3-7, 2023

    6 "Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance"

    7 D.-L. Anderson, "Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE,Vol.5)" 331-333, 2012

    8 "OpenAI Presents GPT-3, a 175 Billion Parameters Language Mode"

    9 "Open AI. ChatGPT: Optimizing Language Models for Dialogue"

    10 R. Peres, "On ChatGPT and Beyond : How Generative Artificial Intelligence May Affect Research, Teaching, and Practice" 40 (40): 269-275, 2023

    1 Paresh Kharya, "Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model" NVIDIA Developer, Technical Blog

    2 Walter Benjamin, "The work of Art in the Age of Mechanical Reproduction"

    3 Peter Hinssen, "The New Normal : Explore the limits of the digital world"

    4 K. Vassilev, "The Aura of the Object and the Work of Art: A Critical Analysis of Walter Benjamin’s Theory in the Context of Contemporary Art and Culture" 12 (12): 11-, 2023

    5 Z. Ji, "Survey of Hallucination in Natural Language Generation" 1 (1): 3-7, 2023

    6 "Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance"

    7 D.-L. Anderson, "Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE,Vol.5)" 331-333, 2012

    8 "OpenAI Presents GPT-3, a 175 Billion Parameters Language Mode"

    9 "Open AI. ChatGPT: Optimizing Language Models for Dialogue"

    10 R. Peres, "On ChatGPT and Beyond : How Generative Artificial Intelligence May Affect Research, Teaching, and Practice" 40 (40): 269-275, 2023

    11 "Nvidia’s New Solution Could Address AI ‘Hallucination’ Issues"

    12 "Naver's Hyperscale AI 'HyperCLOVA'"

    13 "Ministry of Science and ICT, Report of the Ministry of Science and ICT in 2023"

    14 "Meta Open-Sources 175 Billion Parameter AI Language Model OPT"

    15 "Language Modeling at scale: Gopher, ethical considerations, and retrieval"

    16 "LG's Hyperscale AI ‘EXAONE"

    17 "Kakaobrain's Hyperscale AI 'minDALL-E'"

    18 "Huawei has created the world’s largest Chinese language model"

    19 "Google’s TRILLION Parameters Transformer Model: Switch Transformer"

    20 "Google Bard explained: What this AI-powered ChatGPT competitor can do"

    21 "Generative AI Market Size To Reach $109.37 Billion By 2030, Grand-View-Research" Generative AI Market Growth & Trends

    22 S. Yanisky-Ravid, "Generating Rembrandt : Artificial Intelligence, Copyright, and Accountability in the 3A Era-The Human–Like Authors are already here–A New Model" 659-726, 2017

    23 G. Cooper, "Examining Science Education in ChatGPT : An Exploratory Study of Generative Artificial Intelligence" 32 : 444-452, 2023

    24 Mario Esteban, "Europe in the Face of US-China Rivalry, A Report by the European Think-tank Network on China (ETNC)" 19-32, 2020

    25 "DALL·E: Creating images from text"

    26 J. Bellagarda, "Connect2NFT : A Web-Based, Blockchain Enabled NFT Application with the Aim of Reducing Fraud and Ensuring Authenticated Social, Non-Human Verified Digital Identity" 10 (10): 2022

    27 "ChatGPT vs. GPT-3 and GPT-4: What's the difference?"

    28 K. Hristov, "Artificial Intelligence and the Copyright Dilemma" 57 (57): 431-454, 2017

    29 J. Bang, "Artificial Intelligence Technology for Expanding Metaverse Services" 39 (39): 64-73, 2022

    30 W. Liu, "Art Definition and Accelerated Experience : Temporal Dimension of AI Artworks" 7 (7): 12-, 2022

    31 G. Iglesias, "A survey on GANs for computer vision: Recent research, analysis and taxonomy"

    32 A. Jabbar, "A Survey on Generative Adversarial Networks: Variants, Applications, and Training"

    33 김금영 ; 이병권, "3D 실시간 렌더링 제작 도구에 대한 비교 분석 연구" 한국컴퓨터정보학회 27 (27): 23-32, 2022

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