人工智能在新闻生产中的伦理问题及其对策
Ethical Issues of Artificial Intelligence in News Production and Its Countermeasures

随着人工智能技术的快速发展，新闻行业正经历着深刻的变革。自动化撰写、个性化推荐等技术的应用提高了新闻生产效率，但也带来了新闻真实性、公正性、信息同质化、隐私保护等多方面的伦理挑战。本文分析了这些伦理问题的具体表现及其根源，包括算法偏见、数据错误、信息过载、隐私泄露等。在此基础上，本文提出了加强算法伦理与透明度建设、强化新闻真实性与质量保障机制、促进新闻从业者伦理素养与能力提升、加强隐私保护与数据安全治理以及推动行业自律与国际合作等策略，以应对人工智能新闻伦理问题，维护新闻的真实性、公正性和社会影响力。
With the rapid development of artificial intelligence technology, the news industry is undergoing profound changes. The application of automated authoring, personalised recommendation and other technologies has improved the efficiency of news production, but it has also brought about ethical challenges in various aspects, such as news authenticity, fairness, information homogeneity and privacy protection. This paper analyses the specific manifestations of these ethical problems and their root causes, including algorithmic bias, data errors, information overload, privacy leakage, etc. On this basis, this paper proposes strategies to strengthen the construction of algorithmic ethics and transparency, reinforce the mechanism of news authenticity and quality assurance, promote the enhancement of ethical literacy and competence of news practitioners, strengthen the governance of privacy protection and data security, as well as promote the industry’s self-regulation and international cooperation, in order to cope with the ethical problems of AI journalism, and to safeguard the truthfulness, fairness, and social influence of the news.