人工智能对未来媒体的影响

Najm Al-Rashed
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摘要

本研究探讨了人工智能(AI)对数字媒体未来的影响,详细介绍了人工智能技术的发展及其对媒体行业的影响。本研究还探讨了媒体专业人员因整合人工智能技术而获得的益处和面临的挑战。研究强调,信息技术正在促进新数字环境的形成,基于人类智能的应用导致媒体新概念和新价值的出现。在技术飞速发展的同时,人工智能在媒体行业的应用对于提高内容质量和简化生产流程意义重大。然而,这些技术也对公共关系的未来和创意媒体的整合提出了质疑。本研究采用了综合研究方法,利用当代书籍、学术论文、相关科学研究以及互联网进行数据收集。研究强调,人工智能技术在推动媒体行业发展、提高内容质量和加快制作速度方面发挥着至关重要的作用。然而,人类仍应是这些技术的主要驱动力,必须建立新的道德标准,以确保媒体制作中人与机器之间的平衡。研究建议包括:记者和媒体从业人员需要关注人工智能技术,以提高内容质量,简化生产流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Artificial Intelligence on the Future of Media
This study examines the impact of artificial intelligence (AI) on the future of digital media, detailing the evolution of AI technologies and their implications for the media industry. It also explores the benefits and challenges faced by media professionals due to the integration of AI technologies. The study highlights that information technology is contributing to the formation of a new digital environment, where applications based on human intelligence lead to the emergence of new concepts and values in media. Amid rapid technological advancements, the utilization of AI in the media industry is significant for enhancing content quality and streamlining production processes. However, these technologies also raise questions about the future of public relations and the integration of creative media. The study employed a comprehensive research methodology, utilizing contemporary books, academic theses, and related scientific studies, along with the internet for data collection. The study emphasizes that AI technologies play a crucial role in advancing the media industry, improving content quality, and accelerating production speed. However, humans should remain the primary drivers of these technologies, and it is essential to establish new ethical standards to ensure a balance between humans and machines in media production. Among the research recommendations: the need for journalists and media professionals to pay attention to artificial intelligence technologies to improve the quality of content and simplify production processes.
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