Fifteen shadows of socio-cultural AI: A systematic review and future perspectives.

• The paper provides the first systematic review of socio-cultural AI research. • Seven academic databases, topic modeling and association network support the analysis. • Governing AI, human-robot links and innovation economy are the key research fields. • SCAI topics got outstanding attendance from 2018 with rapidly emerging future trends. • Implications and weak signals support policy making and future studies. 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. [ABSTRACT FROM AUTHOR]