Socio-cultural AI (SCAI)
By Katalin Feher and Attila I. Katona
Medium.com
Socio-cultural AI (hereinafter SCAI) is the integration and interpretation of AI technology in society and culture, according to our research, published by a leading academic journal “Futures”, Elsevier (2021). We distinguished SCAI from techno-AI describing AI technology as development or operation. It is fundamental to consider SCAI since this approach supports understanding the result and reflection of techno-AI in society and culture.
According to our systematic academic review, SCAI-fields are mostly represented by Governing AI, policy making, human-robot communication, art and the health industry. With a co-occurrence network analysis of key topics in SCAI, two broad fields are noticeable.
First, the cultural-creative industry and smart cities with sustainability issues present the most complex field. The trending topic network highlights the importance of the AI-driven complex systems in computer science, engineering, social science, and humanities with multidisciplinary research and cross-market cooperations.
Second, the news industry and misleading information also deeply affect several different industries, mostly by social media. Journalism is looking for its professional role in creating realities and facing moral issues.
Regarding the perspectives of SCAI, strong and weak signals of the future are available. First, innovation economy and regulative society are getting to be in the focus of SCAI-efforts. Second, the key issues are detectable by ethical safety and social values.
Considering all these phenomena and challenges, there is pressure on policy making and business decisions to build trust in AI technology — mostly for democracy and a sustainable-ethical future. This is also an immediate call to responsibilities in techno-AI.
SCAI in detail:
