The number of studies related to socio-cultural AI (SCAI) is growing dramatically. Therefore, the goal is to perform the first systematic review of the key sources published over the last decade with consequences for social science, humanities, engineering, computer science, and policy research. The novelty of the study is not only the first snapshot of high-ranked articles from seven academic databases but also the revealed and interpreted SCAI research trends with implications for academia and policymaking. Topic modelling is conducted on 607 papers identifying fifteen well-defined fields. Association networks also unfolded trending research areas with smart cities, cultural-creative industries and media. A timeline of the emerging research topics reveals the year of change for SCAI was 2018, mostly with industry 4.0, governing AI, and smart cities. Last but not least, SCAI research for policies is interpreted as a niche for policymaking and academic research funding. The findings summarize the broad coverage of AI technology in society and culture with related research responsibility as underrepresented topics. Implications and weak yet relevant signals are also formulated for academic and policy research. The main contribution of this study is to discover the SCAI research for academic research and policymaking for future perspectives.

与社会文化人工智能 (SCAI) 相关的研究数量正在急剧增加。因此，我们的目标是对过去十年发表的对社会科学、人文、工程、计算机科学和政策研究产生影响的关键资源进行首次系统审查。该研究的新颖性不仅是来自七个学术数据库的高级文章的第一张快照，而且是揭示和解释的 SCAI 研究趋势，对学术界和政策制定有影响。对 607 篇论文进行了主题建模，确定了 15 个明确定义的领域。协会网络还展示了智慧城市、文化创意产业和媒体等热门研究领域。新兴研究主题的时间表显示 SCAI 的变化年份是 2018 年，主要是工业 4.0，管理 AI，和智慧城市。最后但并非最不重要的一点是，SCAI 政策研究被解释为政策制定和学术研究资金的利基。调查结果总结了人工智能技术在社会和文化中的广泛覆盖范围，并将相关研究责任视为代表性不足的主题。还为学术和政策研究制定了含义和微弱但相关的信号。本研究的主要贡献是发现 SCAI 研究用于学术研究和未来前景的政策制定。还为学术和政策研究制定了含义和微弱但相关的信号。本研究的主要贡献是发现 SCAI 研究用于学术研究和未来前景的政策制定。还为学术和政策研究制定了含义和微弱但相关的信号。本研究的主要贡献是发现 SCAI 研究用于学术研究和未来前景的政策制定。