The article "How Generative AI Is Transforming Journalism: Development, Application and Ethics" by Yi Shi and Lin Sun explores the integration of Generative Artificial Intelligence (GAI) into journalism, examining its development, applications, and ethical implications. GAI, a technology that creates content such as text, audio, images, and videos, is deeply integrated into journalism as tools, platforms, and systems. The authors highlight the benefits of GAI in enhancing efficiency, accuracy, and creativity in news production, but also discuss the ethical challenges it poses, including the dilution of media professionals' power, changes in traditional news production processes, and potential biases and inaccuracies. The study systematically addresses these ethical questions from the perspectives of journalistic professionalism and epistemology, identifying the responsibilities of news organizations, journalists, and audiences. It emphasizes the need for responsible use of GAI, ensuring that it aligns with journalistic integrity and universal human values to avoid negative technological impacts. The article reviews the development and application of GAI in journalism, noting its widespread adoption by major media organizations. It outlines three main types of GAI applications: tools, platforms, and systems, each with distinct roles and impacts. The study also examines the ethical challenges in three stages of news production: information gathering, content production, and customization and dissemination. Key ethical concerns include the human subjectivity of journalists, the credibility of news, and the value orientation of news. The authors argue that GAI can lead to biased information gathering, affect the credibility of news, and shape news values through power dynamics. They recommend that news organizations, journalists, and audiences take proactive steps to address these challenges, such as developing guidelines for responsible use, enhancing media literacy, and fostering critical thinking. In conclusion, the article provides a comprehensive overview of the role of GAI in journalism, highlighting both its potential benefits and ethical considerations. It offers insights for professionals and researchers to navigate the ongoing technological transformations in journalism.The article "How Generative AI Is Transforming Journalism: Development, Application and Ethics" by Yi Shi and Lin Sun explores the integration of Generative Artificial Intelligence (GAI) into journalism, examining its development, applications, and ethical implications. GAI, a technology that creates content such as text, audio, images, and videos, is deeply integrated into journalism as tools, platforms, and systems. The authors highlight the benefits of GAI in enhancing efficiency, accuracy, and creativity in news production, but also discuss the ethical challenges it poses, including the dilution of media professionals' power, changes in traditional news production processes, and potential biases and inaccuracies. The study systematically addresses these ethical questions from the perspectives of journalistic professionalism and epistemology, identifying the responsibilities of news organizations, journalists, and audiences. It emphasizes the need for responsible use of GAI, ensuring that it aligns with journalistic integrity and universal human values to avoid negative technological impacts. The article reviews the development and application of GAI in journalism, noting its widespread adoption by major media organizations. It outlines three main types of GAI applications: tools, platforms, and systems, each with distinct roles and impacts. The study also examines the ethical challenges in three stages of news production: information gathering, content production, and customization and dissemination. Key ethical concerns include the human subjectivity of journalists, the credibility of news, and the value orientation of news. The authors argue that GAI can lead to biased information gathering, affect the credibility of news, and shape news values through power dynamics. They recommend that news organizations, journalists, and audiences take proactive steps to address these challenges, such as developing guidelines for responsible use, enhancing media literacy, and fostering critical thinking. In conclusion, the article provides a comprehensive overview of the role of GAI in journalism, highlighting both its potential benefits and ethical considerations. It offers insights for professionals and researchers to navigate the ongoing technological transformations in journalism.