人工智能哲学的基本问题

Evgeniya Konstantinovna Belikova
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引用次数: 0

摘要

研究对象是科学知识的一个特殊分支,它形成于各人道主义学科利益的交汇点--人工智能哲学;研究主题是它所考虑的问题。作者指出了人工智能哲学早期试图回答的主要传统问题。在科学发展的早期阶段,这些问题主要集中在人工智能能否意识到自己,能否像人一样学会思考、感受和创造。20 世纪 60 年代以来,科学家们对自然智能和人工智能的平等问题、计算机对其创造者表现出仁慈或敌意的能力等问题产生了兴趣。研究采用了对人工智能哲学问题的历史和哲学分析、解释性综合方法等。研究采用了系统-结构、辩证、文化-历史、价值、跨学科等方法。这项研究的科学新颖性在于确定了人工智能哲学在这一科学领域现阶段发展中的相关问题。我们注意到,人工智能哲学的动态受到 "强大的 "人工智能数十年来尚未问世这一事实的重大影响。这引起了人工智能哲学研究领域的变革,目前这一科学知识分支正在思考新的问题,包括为什么不可能创造出完全复制人类思维的 "强 "人工智能;计算机能否进行思维,尽管思维方式与人类不同;人类思维与机器思维的区别是什么;谁应该对人工智能的决策和行为负责,等等。人工智能哲学面临的问题不断更新。
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Basic questions of the philosophy of artificial intelligence
The object of the study is a special branch of scientific knowledge, formed at the intersection of interests of various humanitarian disciplines – the philosophy of artificial intelligence; the subject of the study is the problems it considers. The author identifies the main traditional questions that the philosophy of artificial intelligence tried to answer earlier. Such questions in the earlier stages of the development of science were concentrated around the possibility of artificial intelligence to become aware of itself, learn to think, feel and create like a person. Scientists since the 1960s interested in the problems of equality of natural and artificial intelligence, the ability of a computer to show benevolence or hostility towards its creators. The research was carried out using a historical and philosophical analysis of issues in the philosophy of artificial intelligence, the method of interpretive synthesis, etc. Systemic-structural, dialectical, cultural-historical, value-based, interdisciplinary approaches to the problem were used. The scientific novelty of the research lies in identifying the problems of the philosophy of artificial intelligence that are relevant at this stage of development of this scientific field. It is noted that the dynamics of the philosophy of artificial intelligence are significantly influenced by the fact that “strong” artificial intelligence has not been created for several decades. This has caused a transformation in the research field of the philosophy of artificial intelligence, and at the moment this branch of scientific knowledge is considering new questions, including why it is not possible to create “strong” AI that completely replicates human thinking; can a computer think, albeit differently, than a human; what is the difference between human and machine thinking; who should be responsible for the decisions and actions of artificial intelligence, and etc. The issues facing the philosophy of artificial intelligence are constantly updated.
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