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All Journal JURNAL LENSA MUTIARA KOMUNIKASI Jurnal Indonesia Sosial Teknologi
Nelwin, Raynaldi
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Computer Science & IT Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Corporate Communications and Public Relations: Technological Transformation and Digitalization Towards Society 5.0 Constantin, Natasha; Nelwin, Raynaldi; Irwansyah
JURNAL LENSA MUTIARA KOMUNIKASI Vol. 8 No. 2 (2024): Jurnal Lensa Mutiara Komunikasi
Publisher : UNIVERSITAS SARI MUTIARA INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51544/jlmk.v8i2.5519

Abstract

The insurance sector is undergoing a substantial shift in the swiftly changing environment of society 4.0, entering society 5.0 marked by digitization, mobile technologies, and artificial intelligence (AI). The formerly deemed conservative sector increasingly embraces innovative technology to improve operational efficiency and transform consumer interaction. This paper examines the influence of mobile and AI technologies on corporate communication and public relations, explicitly analyzing their effects on the insurance industry via the perspective of technological determinism. The objective is to examine how new technologies transform consumer interactions, trust dynamics, and organizational tactics while addressing ethical issues such as AI transparency and data protection. This study, rooted in technological determinism, highlights technology's independent and socially influenced effects on organizational behaviors. It uses a qualitative approach, phenomenological method, and semi-structured interviews with industry experts to investigate lived experiences and insights. The findings indicate that mobile platforms improve consumer interaction through immediacy and accessibility, while AI enhances operations through predictive analytics and automation. Nonetheless, issues about diversity and ethical responsibility persist as significant concerns. The research suggests that mobile and AI technologies serve as transformational agents, necessitating enterprises to reconcile technical innovation with ethical accountability. By implementing inclusive, transparent, and proactive communication strategies, insurance businesses may use these technologies to cultivate trust, enhance stakeholder relationships, and adeptly negotiate the intricacies of Society 4.0. This study offers a framework for incorporating developing technology into corporate communication and public relations by social norms and expectations.
Artificial Intelligence: Communication, Technology, and Society (a Systematic Literature Review) Constantin, Natasha; Nelwin, Raynaldi; Christanto, Andrew; Irwansyah, Irwansyah
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 10 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i10.7027

Abstract

The development of artificial intelligence (AI) technology has transformed the way various social sectors operate, including healthcare, communications, and decision-making. The integration of AI into these domains not only opens up new opportunities for efficiency and innovation, but also presents significant challenges. Among these challenges, the emergence of algorithmic bias, inadequate data protection, technical limitations, and complex ethical dilemmas are of major concern. These issues affect the reliability and fairness of the use of AI technologies, potentially harming individuals and society as a whole. This study aims to investigate the barriers associated with the implementation of AI in society and provide theoretical and methodological solutions to address these challenges. This study uses a systematic literature review methodology to review 40 journals, with the aim of identifying key issues and suggesting solutions for the ethical and successful integration of AI. The findings show that the potential of AI is often hampered by biased algorithms, inadequate privacy laws, and a lack of transparency in decision-making processes. The study recommends the use of qualitative and quantitative methodologies, including experimental research and case studies, to investigate practical applications of AI. In addition, a multidisciplinary approach is suggested to address the technical and social dimensions of AI applications.
Co-Authors Christanto, Andrew Constantin, Natasha IRWANSYAH Irwansyah Irwansyah