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生成式人工智能的责任机制:溯源、挑战与构建路径

王明 陈建兵

北京工业大学学报(社会科学版)2025,Vol.25Issue(3):111-122,12.
北京工业大学学报(社会科学版)2025,Vol.25Issue(3):111-122,12.DOI:10.12120/bjutskxb202503111

生成式人工智能的责任机制:溯源、挑战与构建路径

The Responsibility Mechanism of Generative Artificial Intelligence:Origins,Challenges,and Pathways to Construction

王明 1陈建兵2

作者信息

  • 1. 东北财经大学 马克思主义学院,辽宁 大连 116025
  • 2. 西安交通大学 马克思主义学院,陕西 西安 710049
  • 折叠

摘要

Abstract

Regulating and governing generative artificial intelligence is fundamentally crucial for forstering its broad adoption and continuous innovation.Eusuring the technology is responsible,which is answerable for human interests,has emerged as a essential requirement for its advancement.The primary goal of establishing a responsibility mechanism for generative artificial intelligence is to bring a positive impact to human,based on a"human-centered"logic.At the societal level,the responsibility mechanism faces challenges from conflicted values;at the technical level,it confronts challenges of algorithmic opacity;and within the generative artificial intelligence industry,it is challenged by unregulated research and application.It is imperative for humanity to construct thr pathways to the responsibility mechanism of generative artificial intelligence,including promoting human-machine integration to guide technology toward benevolence,deconstructing algorithmic opacity to enhance technical transparency,optimizing government governance standards to strengthen resilient regulation,balancing interests,and reinforcing the social responsibility of artificial intelligence enterprises.

关键词

人工智能/生成式人工智能/责任机制/科技伦理/监管治理

Key words

artificial intelligence/generative artificial intelligence/the responsibility mechanism/technology ethics/regulation and governance

分类

社会科学

引用本文复制引用

王明,陈建兵..生成式人工智能的责任机制:溯源、挑战与构建路径[J].北京工业大学学报(社会科学版),2025,25(3):111-122,12.

基金项目

国家社会科学基金重点项目(2020MYB038) (2020MYB038)

北京工业大学学报(社会科学版)

OA北大核心

1671-0398

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