出版產業應用AI技術的風險分析

NHUIR > College of Management > Department of Cultural & Creative Enterprise Management > Disserations and Theses(Cultural & Creative Enterprise Management) > Item 987654321/29662

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Title:	出版產業應用AI技術的風險分析
Other Titles:	Risk Analysis of the Application of AI Technology in the Publishing House
Authors:	楊佳人 YANG, CHIA-JEN
Contributors:	文化創意事業管理學系黃昱凱;洪林伯 HUANG, YU-KAI;HUNG, LIN-BAO
Keywords:	人工智慧;出版產業;風險分析;層級架構分析 Artificial Intelligence;Publishing Industry;Risk Analysis;Analytic Hierarchy Process
Date:	2023
Issue Date:	2023-11-09 10:04:47 (UTC+8)
Abstract:	近年來，出版社開始探索和應用人工智能（AI）技術來改進出版流程、編輯和銷售策略。然而，AI技術的應用也帶來了一些風險和挑戰。本研究旨在對出版社應用AI技術的風險進行分析。本研究首先對出版社應用AI技術的現狀進行了調查和分析。調查結果顯示，出版社最常應用AI技術的領域包括自然語言處理、圖像識別、推薦系統和大數據分析。AI技術的應用主要目的是提高出版效率、提高銷售量和客戶滿意度。本研究根據SHELL模型建構出版社應用AI技術的風險評估架構，並歸納出「軟體」、「硬體」、「環境」、「人員」等四項構面。6. 整體權重分析結果顯示「(E 2) 法律規範」、(L 1) 主管重視程度」、「(L 2) 資訊人員能力」是出版社應用AI技術最需關心的三項評估準則。最後，本研究提出了一些建議，以幫助出版社降低AI技術應用的風險。建議包括加強數據隱私保護、提高人工智能的公正性和透明度、採用AI技術與人工智能相互補充的方式、強化技術管理和安全防範意識等。　　In recent years, publishers have begun exploring and applying artificial intelligence (AI) technology to improve their publishing processes, editing, and sales strategies. However, the application of AI technology also brings some risks and challenges. This study aims to analyze the risks of applying AI technology in publishing. The study first surveyed and analyzed the current status of publishers' application of AI technology. The survey results show that the most commonly applied areas of AI technology in publishing include natural language processing, image recognition, recommendation systems, and extensive data analysis. The primary purpose of using AI technology is to improve publishing efficiency and increase sales and customer satisfaction. Based on the SHELL model, this study constructed a risk assessment framework for publishers' application of AI technology and identified four dimensions: “software,” “hardware,” “environment,” and “personnel.” The overall weight analysis results show that “(E 2) Legal Regulations,” “(L 1) Supervisor's Emphasis,” and “(L 2) Information Personnel's Ability” are the top three evaluation criteria that publishers should be most concerned about when applying AI technology. Finally, this study proposes suggestions to help publishers reduce the risks of using AI technology. The recommendations include strengthening data privacy protection, improving the fairness and transparency of AI, adopting a complementary approach between AI technology and human intelligence, and enhancing technology management and security awareness.
Appears in Collections:	[Department of Cultural & Creative Enterprise Management] Disserations and Theses(Cultural & Creative Enterprise Management)

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