The Core Connotations, Fundamental Goals, Realistic Dilemmas and Practical Paths of Aligning the Value of Artificial Intelligence Article Swipe

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YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.62381/p243c06

Artificial intelligence value alignment is a cutting-edge topic discussed in the academic community in recent years. In terms of recent relevant research results, the academic community still needs to deepen its research on the goals and paths of artificial intelligence. In view of this, this article mainly uses the method of literature research, implementing the principles of unifying theory and practice, logic and history as well as truth and value scales to study the core connotation, fundamental goals and practical paths of artificial intelligence value alignment. The core connotations of aligning the value of artificial intelligence is to ensure that the research and application of artificial intelligence meet the practical needs of humans survival and development, thereby promoting better humans survival and development. The fundamental goals of aligning the value of artificial intelligence should mainly include following two points. Firstly, the research and application of artificial intelligence should conform to the scientifically reasonable value goals set by humans. Secondly, enabling the research and application of artificial intelligence to serve the survival and development of humans. The realistic dilemmas of aligning the value of artificial intelligence mainly include mainly include following three points. First, the regulatory system for ethical governance of artificial intelligence still needs to be improved. Second, the ethical governance of artificial intelligence still needs to be strengthened. Third, the synergy between artificial intelligence and humans still needs to be strengthened. The practical path for aligning the value of artificial intelligence should mainly include three points as follows. Firstly, developing and improving a normative system for ethical governance of artificial intelligence. Secondly, strengthening the ethical governance of artificial intelligence. Thirdly, based on the language communication between humans and machine, achieve collaboration between humans and artificial intelligence in value judgment and practical activities.

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Computer Science

Artificial Intelligence

Engineering

Machine Learning

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Core (optical fiber) Value (mathematics) Management science Computer science Artificial intelligence Engineering Machine learning Telecommunications

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Type: article
Language: en
Landing Page: https://doi.org/10.62381/p243c06
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DOI: https://doi.org/10.62381/p243c06

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Title: The Core Connotations, Fundamental Goals, Realistic Dilemmas and Practical Paths of Aligning the Value of Artificial Intelligence

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-12-01

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Authors: Peng Gao, Zhoumo Zeng

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Landing page: https://doi.org/10.62381/p243c06

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Concepts: Core (optical fiber), Value (mathematics), Management science, Computer science, Artificial intelligence, Engineering, Machine learning, Telecommunications

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