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題名:未來10年AI將取代人類工作之關鍵因素研究
書刊名:樹德科技大學學報
作者:陳輝農陳柏文孫世倩盧瑀安連世周
作者(外文):Chen, Hui-nungChen, Bo-wenSun, Shih-chienLu, Yu-anLien, Shih-chou
出版日期:2024
卷期:26:1
頁次:頁57-73
主題關鍵詞:數位經濟大數據AIDigital economyBig dataIoT
原始連結:連回原系統網址new window
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本研究旨在探討人工智慧時代來臨,人工智慧系統整合將取代大多數行業的工作機
會,此趨勢下包括個人、企業、政府將會面臨的挑戰、衝擊、機會、利益,透過德懷術
之研究方法,蒐集相關之文獻資料彙整成為系統化資料,並邀請兩位學界學者及十八位
資深專家透過相關深度訪談,並在指導教授的指導下,運用專家深度訪談及三次的德懷
術專家問卷調查,參酌學者及專家們建議,依數據分析統計資料,共歸納出5 個關鍵因
素如下:
一、培養科研及實務應用人才
二、數位經濟轉型工作型態改變
三、全球化策略加速產業AI 化
四、IoT 成熟資訊AI 加速發展
五、大數據+深度學習+5G 進步
以上五個關鍵因素將提供給政府、企業、個人在面臨人工智慧的衝擊時,能夠落實
人工智慧系統技術人才及末端實務應用人才之栽培,以彌補人才缺口。企業和勞工必須
終身學習,配合數位經濟之轉型,學習第二專長以因應工作型態轉變。面對全球化之策
略,唯有提升全自動化才能因應全球化之競爭策略。當今物聯網發展更加成熟,大數據將增加人工智慧進展的速度。人工智慧系統透過深度反覆的學習,加上5G 的快速超連
結,人工智慧將如虎添翼。
This research aims to discuss the coming of the era of artificial intelligence. The
integration of artificial intelligence systems will replace job opportunities in most industries.
Under this trend, individuals, enterprises, and governments will face challenges, impacts,
opportunities, and benefits. Through the method of morality The research method is to collect
relevant literature and data into systematic data, and invite two academic scholars and 18
senior experts to conduct relevant in-depth interviews, and under the guidance of the
supervisor professor, use expert in-depth interviews and three moral techniques Based on the
experts' questionnaire survey, considering the suggestions of scholars and experts, and based
on the data analysis and statistics, 5 key factors were summarized as follows:
(1) Cultivate personnel for scientific research and practical applications.
(2) Different operational requirements due to the transformation of the digital economy.
(3) Globalization accelerates the development of artificial intelligence in industries.
(4) Mature IoT information accelerates the development of artificial intelligence.
(5) Big data + deep learning + 5G progress
The above five key factors will provide governments, enterprises and individuals with
the ability to implement the cultivation of AI system technical talents and terminal practical
application talents when facing the impact of artificial intelligence to make up for the talent
gap. Businesses and workers must learn lifelong to cope with the transformation of the digital
economy and learn a second specialty to cope with the change in work styles. In the face of
the globalization strategy, only by promoting full automation can we cope with the
globalization competition strategy. Today's Internet of Things is more mature, and big data
will increase the speed of artificial intelligence progress. Through deep and repeated learning
of artificial intelligence systems, coupled with the fast hyperlink of 5G, artificial intelligence
will be like a tiger.
 
 
 
 
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