Trends and business models of new-smart-AI (NSAI) media
2020 13th CMI Conference on Cybersecurity and Privacy (CMI) - Digital Transformation - Potentials and Challenges(51275), 2020
The term “new media” represents a complex field with a jungle of concepts and with increasing num... more The term “new media” represents a complex field with a jungle of concepts and with increasing number of publications [1]. In parallel, the rapidly changing digital trends indicate further challenges to find relevant definitions or theories for new media. The study argues that the most definitive trends are rooted in the technology-driven paradigm shifts from digitalisation to smart and (narrow) AI [2]. These principal paradigms of digital technology facilitate the changing media logics [3] with several facilitators and effects in society, culture and business [4]. The question is how technological trends and their business models are manifested and what kind of forces, needs and values support them. Thus, the purpose of the study is to conceptualise the changing new media landscape along the digital transformation [5]. The method, trend level analysis supports the understanding. Additionally, Fjord trend report [6] extends this conceptualisation with interpretative and human-focused...
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Papers by Katalin Feher
The goal of the paper is to identify the comprehensive trends, practical implications and risks of artificial intelligence (AI) technology in the economy and society, exploring the expectations of Hungarian powerful actors in a global arena.
Design/methodology/approach
Sociology of expectations framed the theoretical considerations. The explorative research design presents an anonymous qualitative online survey. Respondents represent the Hungarian AI Coalition with a quarter of the members.
Findings
The key finding is a controversial result. Although AI is interpreted as a decision-supportive and problem-solving technology for the economy, uncertainties and fears for the society are clearly formulated. Interpreting the results and the originality of the paper, trust building and responsibility sharing in cross-industrial collaborations are fundamental to reduce social uncertainties, override the popular or science fiction narratives and increase the future well-being.
Research limitations/implications
The length of textual responses did not allow a deeper analysis. However, for professional reasons, participants were committed to completing the survey.
Practical implications
The paper suggests for business and policymaking to identify the AI technology as a tool distinguishing from tech-owners’ responsibilities. Therefore, the implications of the study support a reliable AI and also potential for cross-industrial collaborations.
Originality/value
The paper highlights the uncertainties of business investment and policymaking to encourage a comparative research project in the EU for trustworthy AI. Similar exploratory studies with the same focus, sample and outcome are not available yet
The goal of the paper is to identify the comprehensive trends, practical implications and risks of artificial intelligence (AI) technology in the economy and society, exploring the expectations of Hungarian powerful actors in a global arena.
Design/methodology/approach
Sociology of expectations framed the theoretical considerations. The explorative research design presents an anonymous qualitative online survey. Respondents represent the Hungarian AI Coalition with a quarter of the members.
Findings
The key finding is a controversial result. Although AI is interpreted as a decision-supportive and problem-solving technology for the economy, uncertainties and fears for the society are clearly formulated. Interpreting the results and the originality of the paper, trust building and responsibility sharing in cross-industrial collaborations are fundamental to reduce social uncertainties, override the popular or science fiction narratives and increase the future well-being.
Research limitations/implications
The length of textual responses did not allow a deeper analysis. However, for professional reasons, participants were committed to completing the survey.
Practical implications
The paper suggests for business and policymaking to identify the AI technology as a tool distinguishing from tech-owners’ responsibilities. Therefore, the implications of the study support a reliable AI and also potential for cross-industrial collaborations.
Originality/value
The paper highlights the uncertainties of business investment and policymaking to encourage a comparative research project in the EU for trustworthy AI. Similar exploratory studies with the same focus, sample and outcome are not available yet
Fehér Katalin “Digitalizáció és új média” című műve alapvető munka a digitális trendek megértéséhez, értékes betekintést nyújtva az IT-tól és marketingtől kezdve az üzleti döntéshozatalig és a tudományos életig. A szerző átfogó nemzetközi tapasztalatát felhasználva mutat be példákat és illusztrációkat, amelyek világítják meg a gyorsan változó digitális környezetet. Ez a könyv hosszú távú forrásként szolgál a digitalizáció és az új média dinamikájának megértéséhez.
This chapter gives a brief introduction to current CCI figures and after that it will focus on CCI trends in Southeast Asia (SEA with countries such as Cambodia, Indonesia, Malaysia, Philippines, Thailand, and Vietnam) and Central and Eastern Europe (CEE countries as Albania, Bulgaria, Croatia, Czech, Hungary, Poland, Romania, Slovakia, Slovenia, Estonia, Latvia, and Lithuania).
BOOK CHAPTER
Citation: Feher, K., Junaidy, D. W., Larasati, D., Kovacs, A. & Rahardjo, B. (2017) Prospects of Creative Industries and Digital Economy. Perspectives from Southeast Asia and Central Europe. In. Novak, T. (ed) Go Hungary – Go Indonesia: Understanding Economic and Business Issues. Budapest Business School, University of Applied Sciences, pp.151-172. ISBN: 978-615-5607-26-4
"A kötet alapmű a digitális trendek áttekintéséhez és megértéséhez. Egyszerre ad muníciót több szakmának - az IT-tól a marketingig, az üzleti döntéshozástól a felsőoktatás-kutatásig és a művészetig. A szerző átfogó nemzetközi tapasztalatát kamatoztatja példáival és illusztrációival. Az olvasó végül egy hosszabb távon érvényes kötet birtokosa lehet a gyorsan változó trendek világában." Akadémiai Kiadó
Studying more than six hundred high-ranked academic sources of artificial intelligence as its socio-cultural embeddedness in a decade’s perspective, only five percent in total have had intensive focus on creative solutions or creativity. Despite the low-represented field, the range of topics is relatively various. Human skills, emotions or benefits of creativity are as much highlighted as the innovation of technology development or creative planning and design. Their most significant fields are cognitive mechanisms, cultural evolution, communication, sustainability, industry, innovation or fairness of technology.
Art and media as classical fields of creativity are represented only in few dozen articles with service management, cognitive process, infrastructure development, social media marketing, swarm model, affected human behaviour and fairness issues (among others Min and Kim 2019, Stonor 2019, Reynaldo at al. 2019, d’Orville 2019, Soboleva and Soboleva 2019, Tsvetkova et al. 2017, Fernandes 2015). Solely one academic source emphasise directly the intense connection between AI-driven art and media in socio- cultural context. In details, Casazza and Gioppo (2019) discuss the theatre playwriting techniques as social sustainability with robotisation and AI-developments. According to their approach, the use of artistic media enables the reflective aesthetic enquiry supporting “learning by heart”. This approach enable to highlight the multidisciplinarity in AI-research, and also, to analyse the options for creative AI-media.
The purpose of the presentation is to conclude that the diverse approaches of creativity narrowed down via emerging narrow AI-trends. Therefore, the state of art technology may result in a more focused and redefined concept of creativity that may be well translated for machine learning. This movement can result in a changing approach of creativity, particularly in case of media or art. In other word, creativity will not be interpretable without AI-technology.
Acknowledgement
Sincere gratitude to the Fulbright Research Grant for the opportunity to work on this project. This paper was also supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences. Link: https://mau.se/en/research/research-platforms/medea/conference-artificial-creativity/