人工智能(ai)和伦理人工智能(eai)

C. Garuti
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引用次数: 0

摘要

人工智能是一个相对较新的概念,使用频率越来越高。这个概念的重要性通常与我们所理解的智力能力的增强有关。然而,这是一个微妙的概念,很容易被误用和/或误解。这需要很好地理解人工智能是什么,它基于什么或应该基于什么,以及它的实际操作形式。我想就IA和IAE之间的区别指出一点。人工智能通常被认为是一种能够通过在大型关系数据库中生成与问题相关的关系来回答难题的程序或机器。一般来说,这导致得到的结果并不清楚它们是如何得到的(背后的“推理”是什么)。从长远来看,这可能会带来理解和依赖方面的重大问题。最终,我们将基于机器最终的高预测能力而服从它。但是,在这种情况下,谁是真正的决策者,谁是操作者?
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ARTIFICIAL INTELLIGENCE (AI) AND ETHICAL ARTIFICIAL INTELLIGENCE (EAI)
The concept of AI is a relatively new concept that is being used with increasing frequency. The importance of this concept has to do in general with the increased capacity of what we understand as intelligence. However, it is a delicate concept and easy to misuse and / or misinterpret. This requires a good understanding of what AI is, what it is based on or should be based on and its forms of practical operation. I would like to make a point regarding the difference between IA and IAE. AI in general is thought of as a program or machine capable of answering difficult questions by generating relationships related to the question within large relational databases. This, in general, leads to obtaining results about which it is not clear how they were obtained (what was the "reasoning" behind). This, in the long term, can bring important problems of understanding and dependency. Ultimately, we would be obeying a machine based on its eventual high predictive capacity. But, in this case, who is really the decision-maker and who is the operator?
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来源期刊
International Journal of the Analytic Hierarchy Process
International Journal of the Analytic Hierarchy Process Decision Sciences-Decision Sciences (all)
CiteScore
2.30
自引率
0.00%
发文量
22
审稿时长
12 weeks
期刊介绍: IJAHP is a scholarly journal that publishes papers about research and applications of the Analytic Hierarchy Process(AHP) and Analytic Network Process(ANP), theories of measurement that can handle tangibles and intangibles; these methods are often applied in multicriteria decision making, prioritization, ranking and resource allocation, especially when groups of people are involved. The journal encourages research papers in both theory and applications. Empirical investigations, comparisons and exemplary real-world applications in diverse areas are particularly welcome.
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