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DIGITAL RIGHTS REGULATION IN THE AI ERA: PRIVACY PROTECTION AND CONSUMER RIGHTS IN INDONESIA Fatmawati, Endang; M. A. S. A., Adlhan Nury; Rafa, Minan Faiz Fausta; Sari, Ananda Rivaldo; Hasibuan, Masnilam
Journal of Social and Economics Research Vol 7 No 2 (2025): JSER, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i2.1344

Abstract

This study examines the regulation of digital rights in the era of artificial intelligence, with a specific focus on privacy protection and consumer rights in Indonesia. Rapid diffusion of AI-driven services has intensified data processing practices, algorithmic decision-making, and cross-sector digital consumption, raising complex legal and ethical concerns. Using a structured literature review methodology, the study synthesizes peer-reviewed articles, policy documents, and authoritative legal sources to map prevailing regulatory approaches and debates. The review analyzes international frameworks on data protection and consumer protection to identify normative standards relevant to AI governance. Findings indicate that AI systems amplify risks related to personal data misuse, opacity, and power asymmetries between platforms and consumers. In the Indonesian context, existing digital regulations provide a foundational basis for rights protection but reveal gaps in enforcement capacity, interoperability, and AI-specific safeguards. The literature further highlights tensions between innovation-driven policy agendas and the need for robust accountability and transparency mechanisms. This study contributes by integrating privacy and consumer protection perspectives within a unified digital rights framework tailored to AI applications. Policy implications underscore the importance of adaptive regulation, institutional coordination, and rights-based oversight to address AI-related harms. The article concludes by outlining directions for future research on AI governance and digital rights reform in emerging economies.
DIGITAL RIGHTS REGULATION IN THE AI ERA: PRIVACY PROTECTION AND CONSUMER RIGHTS IN INDONESIA Fatmawati, Endang; M. A. S. A., Adlhan Nury; Rafa, Minan Faiz Fausta; Sari, Ananda Rivaldo; Hasibuan, Masnilam
Journal of Social and Economics Research Vol 7 No 2 (2025): JSER, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i2.1344

Abstract

This study examines the regulation of digital rights in the era of artificial intelligence, with a specific focus on privacy protection and consumer rights in Indonesia. Rapid diffusion of AI-driven services has intensified data processing practices, algorithmic decision-making, and cross-sector digital consumption, raising complex legal and ethical concerns. Using a structured literature review methodology, the study synthesizes peer-reviewed articles, policy documents, and authoritative legal sources to map prevailing regulatory approaches and debates. The review analyzes international frameworks on data protection and consumer protection to identify normative standards relevant to AI governance. Findings indicate that AI systems amplify risks related to personal data misuse, opacity, and power asymmetries between platforms and consumers. In the Indonesian context, existing digital regulations provide a foundational basis for rights protection but reveal gaps in enforcement capacity, interoperability, and AI-specific safeguards. The literature further highlights tensions between innovation-driven policy agendas and the need for robust accountability and transparency mechanisms. This study contributes by integrating privacy and consumer protection perspectives within a unified digital rights framework tailored to AI applications. Policy implications underscore the importance of adaptive regulation, institutional coordination, and rights-based oversight to address AI-related harms. The article concludes by outlining directions for future research on AI governance and digital rights reform in emerging economies.
Artificial Intelligence in Archival Science: Enhancing Records Preservation, Retrieval Accuracy, and Knowledge Accessibility in the Digital Era Fatmawati, Endang; Shuhidan, Shamila Mohamed; Samsuddin, Samsul Farid; Husna, Jazimatul; Irawati, Yayuk Endang; Rafa, Minan Faiz Fausta
ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES Vol. 9 No. 2 (2026): ENDLESS: International Journal of Future Studies
Publisher : Global Writing Academica Researching & Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/endlessjournal.v9i2.381

Abstract

This study examines the transformative role of artificial intelligence (AI) in archival science, with a particular focus on enhancing records preservation, retrieval accuracy, and knowledge accessibility in the digital era. The increasing volume and complexity of digital records have posed significant challenges for traditional archival practices, necessitating the integration of advanced technological solutions. In response, AI has emerged as a promising approach to automate archival processes and improve the efficiency of information management systems. This study adopts a literature review methodology by systematically analyzing relevant scholarly publications to synthesize current knowledge on AI applications in archival contexts. The review draws upon peer-reviewed articles indexed in reputable databases to ensure the credibility and relevance of the findings. The results indicate that AI technologies, including machine learning, natural language processing, and computer vision, significantly contribute to improving digital preservation strategies and minimizing data degradation risks. AI-driven retrieval systems enhance the precision and speed of information access through intelligent indexing and semantic search capabilities. The study also finds that AI facilitates broader knowledge accessibility by enabling user-centered interfaces and adaptive information systems. Despite these advancements, several challenges persist, including ethical concerns, data bias, and the need for standardized implementation frameworks. This study contributes to the growing body of knowledge by providing a comprehensive synthesis of AI applications in archival science and offering insights for future research and practical implementation.