The Main Impact and Response of Artificial Intelligence in Taiwanese Society

Chih-hsiung Thomas Chen, Wen-Chuan Ke
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Abstract

Since the neural network was proposed in 1950 and developed into an expert system, the calculation of logical reasoning has been realized, and the hardware progress of algorithms led by Moore’s Law has made a large number of data processing possible, and even the algorithm breakthrough brought by deep learning has also promoted the continuous development of integrated circuits. At this point, artificial intelligence can be described as in full swing, under this unstoppable trend of digitalization, it is expected that the development of artificial intelligence will have a certain degree of impact and impact on all countries in the world. The technical characteristics of artificial intelligence are data-led rather than rule-led, attach importance to the effectiveness of statistics rather than normative effectiveness, and the processing of unstructured data, especially in words and images, which makes social science-related research need to be reflected and faced with new thinking. In addition, algorithms, computing power, and data are prerequisites for the success of deep learning, but deep learning has bottlenecks at the algorithm, computing power, and data levels. In response to The Baohong’s suggestion, existing AI models lack common sense, so they may not be able to understand the concept of entities, fail to identify key influencing factors, and may lack ethics and may also leak personal privacy. In recent years, Taiwan’s government has vigorously advocated and enterprises continue to develop in the direction of artificial intelligence, and the development of artificial intelligence has also caused varying degrees of impact on all levels of society. In the foreseeable future of artificial intelligence, everyone expects the technological unconscious to know itself to some extent better than itself. In order to cope with the social problems that may arise from the development of artificial intelligence, it is the expectation of all parties to propose appropriate strategies in advance to make it develop positively. This paper analyzes the main connotations of the four levels of ethics, law, economy and politics that Taiwan society is most vulnerable to the impact of artificial intelligence, and puts forward personal views, hoping to use this to attract more people’s attention to the relevant impacts and impacts, and further think about coping strategies.
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人工智能对台湾社会的主要影响与回应
自1950年神经网络被提出并发展为专家系统以来,逻辑推理的计算已经实现,以摩尔定律为首的算法的硬件进步使得大量的数据处理成为可能,甚至深度学习带来的算法突破也推动了集成电路的不断发展。此时,人工智能可谓如火如荼,在这种不可阻挡的数字化趋势下,预计人工智能的发展将对世界各国产生一定程度的影响和冲击。人工智能的技术特点是数据主导而不是规则主导,重视统计的有效性而不是规范有效性,以及对非结构化数据,特别是文字和图像数据的处理,这使得与社会科学相关的研究需要反思和面对新的思考。此外,算法、计算能力和数据是深度学习成功的先决条件,但深度学习在算法、计算能力和数据层面都存在瓶颈。针对The Baohong的建议,现有的AI模型缺乏常识,可能无法理解实体的概念,无法识别关键的影响因素,可能缺乏道德规范,还可能泄露个人隐私。近年来,台湾政府大力倡导和企业不断向人工智能方向发展,人工智能的发展也对社会各阶层造成了不同程度的影响。在可预见的人工智能未来,每个人都期望技术无意识在某种程度上比自己更了解自己。为了应对人工智能发展可能带来的社会问题,提前提出相应的策略,使其积极发展,是各方的期望。本文分析了台湾社会最易受人工智能冲击的伦理、法律、经济、政治四个层面的主要内涵,并提出个人观点,希望借此引起更多人对相关冲击和影响的关注,并进一步思考应对策略。
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