探究新闻业中记者与AI技术员协作的实践与挑战
"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry
- 通过访谈17名记者、6名技术人员，分析跨职能协作现状
- 发现沟通障碍与角色认知差异是主要协作阻力
- 适合关注AI在媒体应用的从业者和研究者阅读
近年来，越来越多新闻机构将人工智能（AI）引入工作流程，导致大量AI技术人员和数据工作者进入新闻行业，推动了技术人员与记者之间的跨职能合作。尽管已有研究探讨过AI相关岗位对新闻行业的影响，但关于新闻机构内部记者与AI专业人员如何开展协作的研究仍显不足。本文通过对国内主流新闻机构中的17名记者、6名AI技术人员以及3名具有跨职能经验的AI工作者进行访谈，深入探究新闻行业中围绕AI的内部跨职能协作的实践方式、面临挑战及潜在机遇。研究首先分析记者与AI专业人员对现有协作策略的认知，进一步揭示协作中的核心问题，并提出优化未来协作的建议。
原文摘要 · Abstract (English)
Recently, an increasing number of news organizations have integrated artificial intelligence (AI) into their workflows, leading to a further influx of AI technologists and data workers into the news industry. This has initiated cross-functional collaborations between these professionals and journalists. Although prior research has explored the impact of AI-related roles entering the news industry, there is a lack of studies on how internal cross-functional collaboration around AI unfolds between AI professionals and journalists within the news industry. Through interviews with 17 journalists, six AI technologists, and three AI workers with cross-functional experience from leading Chinese news organizations, we investigate the practices, challenges, and opportunities for internal cross-functional collaboration around AI in news industry. We first study how these journalists and AI professionals perceive existing internal cross-collaboration strategies. We explore the challenges of cross-functional collaboration and provide recommendations for enhancing future cross-functional collaboration around AI in the news industry.
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