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The development of Artificial Intelligence (AI) technology has created various digital innovations, but it has also generated new forms of crime through the misuse of deepfake technology. This study aims to analyze the legal liability of social media platforms for the dissemination of AI-based deepfake content and the forms of legal protection for victims of digital fraud, particularly elderly groups, in the case of the “magical money ritual” scam using the identity of Ujang Busthomi. This research employs normative legal research methods using statutory and case approaches. The results show that perpetrators of deepfake fraud can be held criminally liable under Article 28 paragraph (1) in conjunction with Article 45A paragraph (1) of the Electronic Information and Transactions Law and Article 378 of the Indonesian Criminal Code concerning fraud. In addition, social media platforms as Electronic System Providers also bear preventive and repressive responsibilities under the ITE Law, Government Regulation on Electronic Systems and Transactions, and the Personal Data Protection Law to prevent the spread of illegal content. Legal protection for victims is carried out through criminal law enforcement, personal data protection, restitution mechanisms, and the enhancement of digital literacy in society.

This community service program addressed the limited capacity of educators to use artificial intelligence in a structured and pedagogically responsible way for textbook development. The program focused on empowering educators through NotebookLM in the Ngabuburit AI 2026 activity. Its objective was to improve participants’ understanding and practical skills in organizing sources, designing textbook structures, developing chapter content, and generating interactive learning media. The program used a participatory training approach consisting of presentation, demonstration, guided practice, discussion, and feedback-based evaluation. The results showed that participants gained a clearer understanding of AI-assisted academic writing workflows and recognized NotebookLM as a useful tool for integrating source analysis, textbook writing, and learning media preparation. The activity also fostered new awareness that artificial intelligence can strengthen, rather than replace, educators’ academic roles in producing more systematic and interactive teaching materials.

The rapid development of Artificial Intelligence (AI) has brought significant changes to the criminal justice system, particularly in criminal investigations and evidentiary processes, while simultaneously raising complex legal and ethical challenges. Objective: This study aims to analyze the legal implications of the use of AI in criminal investigations, focusing on its benefits, risks, and challenges related to the admissibility of AI-based evidence, as well as the need for regulatory frameworks that ensure fairness, transparency, and accountability. Methods: This research employs a normative qualitative approach through the analysis of legal regulations, a review of legal and technological literature, and a comparative approach across jurisdictions, complemented by case studies of AI applications in law enforcement practices. Results: The findings indicate that AI enhances investigative efficiency through data analysis, crime prediction, and digital forensics; however, it also poses risks such as algorithmic bias, human rights violations, and issues concerning the reliability and transparency of evidence. Furthermore, differences across legal systems result in the absence of uniform standards for the admissibility of AI-based evidence. Therefore, adaptive regulatory frameworks grounded in the principles of fairness, transparency, and accountability are required, along with strengthened human oversight to ensure that the use of AI aligns with the principles of justice and human rights protection.

The development of generative artificial intelligence has given rise to a new form of digital-based sexual violence through the spread of sexual deepfakes, non-consensual synthetic sexual representations that can attack the dignity, privacy, sexual autonomy, and sense of security of victims. This threat becomes even more serious when targeting students and educators because it not only harms individuals but also disrupts the integrity and security of educational spaces. This study aims to analyze the construction of Indonesian criminal law in ensnaring the spread of sexual deepfakes in educational environments, identify weaknesses in its regulations, and formulate a more ideal reconstruction of criminal liability. The method used is normative legal research with a qualitative descriptive approach, through a literature review of laws and regulations, scientific literature, and relevant documents related to deepfakes, electronic-based sexual violence, and legal protection in educational environments. The results of the discussion indicate that Indonesian positive laws, such as the ITE Law, the TPKS Law, the Pornography Law, the Personal Data Protection Law, and educational regulations, have essentially provided a normative basis for prosecuting such acts, but they are still partial, fragmented, and do not explicitly regulate sexual deepfakes as a separate crime. Therefore, a reconstruction of criminal liability is needed that explicitly recognizes non-consensual synthetic sexual representation as a crime, expands the forms of punishable acts, provides for greater severity in the context of educational relations, and comprehensively integrates criminal penalties with victim protection and recovery. Keywords: sexual deepfakes, criminal liability, students, educators, digital-based sexual violence.

This research investigates how digital transformation contributes to innovation in public services as part of the move toward smart governance. The study employs a literature review approach by evaluating a variety of pertinent materials, which include global journals, scholarly books, and official publications from the years 2018 to 2025. Results show that digital transformation notably enhances the quality of public services regarding their efficiency, effectiveness, openness, and ease of access. The incorporation of technologies like e-government platforms, mobile apps, artificial intelligence, and big data analysis allows governments to provide services that are quicker and more responsive. Additionally, digital platforms foster public involvement by offering means for communication and participation in decision-making activities. Despite these advancements, there are still several obstacles to overcome, such as the digital divide, insufficient infrastructure, low levels of digital skills, and resistance to change within bureaucracy. These issues emphasize the need for cohesive strategies that include investment in technology, development of human resources, and regulatory assistance. The study concludes that digital transformation is vital for achieving smart governance; however, its effectiveness relies on the preparedness of infrastructure, institutions, and society to embrace digital advancements.

Business digitalization has become an integral part of the modern economic development in Indonesia, providing significant convenience for business actors while presenting legal risks that require clear legal protection and certainty. This research uses normative legal methods with legislative and conceptual approaches, and utilizes primary, secondary, and tertiary legal sources. The results of the study show that legal protection for business actors in digital-based business agreements is regulated in various regulations, including Article 1320 and Article 1338 of the Civil Code, the Consumer Protection Law, the Law on the Prohibition of Monopoly Practices, the Law on Information and Electronic Transactions and their amendments, Government Regulations on the Implementation of Electronic Systems and Transactions, the Personal Data Protection Law, and the Trade Minister Regulation on Trade Through an electronic system. However, existing regulations still face challenges in the form of overlapping rules and have not fully answered new problems such as automated contracts, the use of artificial intelligence, and the dynamics of digital platforms. Therefore, adaptive regulatory reforms, strengthening the principle of fairness in digital contracts, increasing supervision of platform operators, and legal and digital literacy for business actors are needed. These efforts are expected to be able to protect business actors, especially MSMEs, from harmful standard clauses and ensure the timely and effective resolution of digital business disputes.

The industrial revolution 4.0 has brought rapid advances in technology, one of which is artificial intelligence (AI). AI has the ability to imitate the human thought and action process in solving various problems. However, the implementation of AI raises legal problems related to responsibility for the negative impacts caused, such as cybercrime, information manipulation, privacy violations, and misuse of technology. Indonesia, as a country based on law, is faced with the challenge of regulating AI to be in line with technological developments. Currently, legal regulations in Indonesia do not specifically regulate the legal responsibility of AI. Positive laws, such as the Civil Code and the ITE Law, can be used interpretively, but are not enough to address the complexity of AI. Legal responsibility related to AI is debatable, whether it is imposed on the developer, owner, or user of AI. In addition, AI does not have a “mens rea” in criminal law, so that unlawful acts are more relevant to be imposed on the responsible human. To overcome this problem, legal reform or the creation of special regulations that comprehensively regulate AI are needed. These regulations must include privacy protection, data security, and criminal and civil liability due to the use of AI. With a clear legal framework, the risk of AI misuse can be minimized and its use can be optimized for the welfare of society.

This study aims to examine the legal certainty of ownership of works produced by artificial intelligence (AI), specifically ChatGPT, from the perspective of Law Number 28 of 2014 concerning Copyright. The main focus of this research is to answer the question of whether works produced by AI can be copyrighted and to identify the legal challenges arising from the absence of explicit regulations in the Indonesian positive legal system. This study uses a normative juridical method with a statute approach and analysis of primary and supplementary legal materials. The study's findings indicate that, to date, there are no national regulations explicitly governing copyright recognition for works produced autonomously by AI systems. Based on the provisions of Article 1 number 3 of Law Number 28 of 2014, works must arise from human intellectual ability, therefore, AI products do not qualify as works potentially entitled to copyright protection. Therefore, legal reformulation through regulatory updates is needed to provide legal certainty and address challenges in the digital era, as well as prevent potential disputes in the national creative industry.

The rapid development of artificial intelligence technology, particularly deepfake, poses significant challenges to legal protection due to its potential misuse for identity manipulation, defamation, and other cybercrimes. This phenomenon highlights a gap between technological advancement and the readiness of legal regulations in Indonesia. This study aims to analyze forms of deepfake misuse and to assess the effectiveness of existing legal frameworks in providing legal protection and certainty. The research employs a normative legal method using statutory and conceptual approaches by examining legislation, legal doctrines, and relevant scholarly literature. The findings indicate that Indonesian positive law does not yet specifically regulate deepfake technology, resulting in law enforcement relying on general provisions of criminal law and the Electronic Information and Transactions Law. The implications of this study emphasize the urgency of regulatory reform and the formulation of adaptive legal policies to address digital technological developments in order to ensure legal protection and justice for society.

The rapid advancement of Artificial Intelligence (AI) has significantly disrupted the global labor sector, including in Indonesia. The urgency of this study lies in the growing inequality in access to digital skills and the lack of legal protection for workers in the digital era. This research aims to analyze the impact of AI on employment in Indonesia and to assess the adequacy of labor regulations in addressing digital transformation. This study employs a normative legal method with a juridical-empirical approach, utilizing literature review, secondary data, and qualitative analysis of labor policies and relevant regulations. The findings reveal that while AI has the potential to create new types of employment, it also threatens conventional jobs, especially in labor-intensive sectors. Moreover, Indonesia's labor regulations have not yet adapted to new, flexible, and platform-based work models, resulting in legal uncertainty for informal and freelance workers. This study contributes to the discourse on the need for labor law reform that is inclusive and adaptive to technological developments. In conclusion, there is a pressing need for responsive labor regulation reform, increased digital literacy, and continuous reskilling systems to ensure that AI-driven transformation does not create new inequalities in the labor market. Future research is recommended to focus on formulating new legal protection models for digital workers in the AI era.

The development of deepfake technology, which utilises artificial intelligence to manipulate images, videos and sounds, has led to a serious threat of sextortion. In the Indonesian context, high internet penetration and low awareness of digital security increase the risk of this crime. This research analyses the legal consequences of the misuse of deepfake technology in sextortion based on the Electronic Information and Transaction Law (UU ITE). Using normative juridical methods and descriptive-qualitative analysis, this research examines the legal challenges faced in enforcing sanctions against this crime and provides recommendations to strengthen the legal framework in Indonesia. The results show that there are gaps in the legal framework that need to be addressed, as well as the importance of education and capacity building of law enforcement in dealing with cybercrime. In addition, the development of more sophisticated deepfake detection technology is expected to be a solution in tackling this abuse in the future.

The rapid advancement of Artificial Intelligence (AI) is reshaping public governance, including legislative processes. In the United Arab Emirates (UAE), AI is being actively utilized to enhance law-making through faster drafting, improved consistency, and greater transparency. This study examines the role of AI in the UAE’s legislative functions, focusing on how AI tools assist in analyzing legal data, formulating policy recommendations, and drafting legislation. It explores how AI impacts the speed, accuracy, and legitimacy of law-making, while also addressing the ethical and legal challenges of delegating legislative tasks to intelligent systems. Using a qualitative case study method, the paper evaluates government initiatives, expert insights, and regulatory structures that frame AI's integration into the UAE’s law-making system. While AI offers opportunities for data-driven governance and increased legislative productivity, it also presents risks such as algorithmic bias, reduced human oversight, and accountability gaps. The study emphasizes that AI must be governed by strong regulatory frameworks to safeguard democratic values, fairness, and legal integrity. By analyzing a pioneering national model, this research contributes to global discussions on AI in governance and offers key insights for policymakers, technologists, and legal scholars seeking to balance innovation with ethical and legal standards.

This research aims to critically examine the ethical integration of artificial intelligence (AI) in education through the perspective of maqāṣid al-sharīʿah, emphasizing the alignment between technological innovation and Islamic moral principles. The methods used are a systematic literature review and thematic content analysis against peer-reviewed publications for the period 2015–2025, which discuss the application of AI in primary, secondary, and higher education. The study identified dominant ethical issues, such as data privacy, algorithmic bias, accountability, human agency, and moral development, which were then mapped to Islamic ethical goals, including ʿadl (justice), amānah (belief), karāmah al-insān (human dignity), and ḥifẓ al-ʿaql (protection of reason). The results of the analysis show that the adoption of AI in education often emphasizes efficiency, personalization, and predictive analytics, but has the potential to reduce learners' autonomy and ethical reasoning. The mapping of maqāṣid al-sharīʿah shows a strong normative conformity, so that Islamic principles can be a moral foundation as well as a practical guide for AI governance. The research contribution is theoretical by bridging the literature on AI ethics and Islamic educational philosophy, as well as practical by offering an integrative framework for AI policymakers, educators, and developers. The integration of maqāṣid al-sharīʿah in AI governance ensures justice, trust, inclusivity, and the development of the whole human being (insān kāmil).

The rapid advancement of artificial intelligence (AI) in the digital age offers substantial benefits by enhancing efficiency and productivity. Nevertheless, these developments also pose significant challenges to the protection of human rights. Issues such as privacy violations, algorithmic bias, discrimination, and opaque automated decision-making highlight the need for a strong integration of ethical values and legal frameworks in the use of AI. This study applies a normative legal method supported by literature-based research to examine the existing regulatory frameworks and the ethical principles underpinning them. The findings indicate that ethical principles such as transparency, accountability, fairness, and human-centeredness serve as essential moral guidelines to prevent AI misuse. Meanwhile, legal rules ensure certainty, establish accountability mechanisms, and provide sanctions for violations. The synergy between ethics and law forms a crucial foundation to ensure that technological innovation aligns with the protection of human rights, upholds human dignity, and supports the creation of a safe and just digital environment

The development of Artificial Intelligence (AI) has significantly influenced the formation of contracts in civil law, particularly through the automation of clause drafting, risk analysis, and the standardization of contractual documents. The use of AI in contract drafting raises complex legal issues, especially concerning the validity of agreements and the attribution of legal liability in the event of default. This study aims to analyze the validity of contracts created through Artificial Intelligence from the perspective of Indonesian civil law and to examine models of legal liability in AI-based contracts. This research employs a normative legal method with statutory and conceptual approaches, examining the provisions of the Indonesian Civil Code, particularly Article 1320, as well as legal doctrines and scholarly perspectives on digital contracts and AI. The findings indicate that AI-based contracts are, in principle, legally valid as long as they fulfill the requirements of a valid agreement, namely the consent of the parties, legal capacity, a specific object, and a lawful cause. Artificial Intelligence cannot be positioned as a legal subject because it lacks intent, consciousness, and the capacity to bear rights and obligations, and therefore functions solely as a technological tool. Consequently, legal intent and liability remain attached to the human or legal entity that uses, controls, or benefits from AI. This study also emphasizes that the primary challenge of AI-based contracts lies in the absence of specific legal regulations governing the allocation of liability among AI users, system providers, and developers, particularly when default occurs due to algorithmic errors or system failures. Therefore, clearer, adaptive, and comprehensive regulations are required to ensure legal certainty, protect the parties involved, and maintain a balance between technological innovation and the principles of justice in AI-based contractual practices in Indonesia.

This paper reviews the role of Artificial Intelligence (AI) in Islamic education within secondary schools, emphasizing both its practical uses and the ethical challenges it presents. The review looks into the current trends, tools, and the impact of AI on the learning experience, as well as its ethical implications from an Islamic perspective. The study follows a systematic literature review (SLR) approach based on the PRISMA guidelines and includes research from 2022 to 2025, sourced from platforms like Google Scholar. After a thorough selection process, 15 articles were included in the review, offering valuable insights into the technological and ethical aspects of AI in Islamic secondary education. The use of AI has notably enhanced learning outcomes in Islamic education by allowing personalized learning, boosting student engagement, and streamlining feedback mechanisms. Tools like intelligent tutoring systems and educational chatbots have been widely adopted. However, challenges around data privacy, algorithmic bias, and technology access persist. Additionally, incorporating Islamic ethical values into AI-driven educational platforms presents both opportunities and challenges. Addressing these ethical implications is vital, requiring frameworks that align with Islamic principles such as maṣlaḥa (public welfare), justice, and human dignity. Education policies and teacher training programs should concentrate on promoting the responsible use of AI, ensuring it improves educational experiences while preserving ethical and cultural integrity.

The integration of artificial intelligence (AI) in forensic investigation has significantly transformed the analysis and authentication of digital evidence. This paper explores the role of AI technologies, specifically machine learning and deep learning algorithms, in examining digital evidence from various sources, including computers, mobile devices, and network systems. We provide an in-depth analysis of current AI-based forensic tools, their efficiency in evidence authentication, and the challenges they face regarding legal admissibility. Our findings indicate that AI-powered forensic systems can detect digital evidence tampering with 94.7% accuracy, drastically reducing analysis time from weeks to hours. However, challenges remain, particularly in areas such as algorithmic transparency, bias prevention, and ensuring the integrity of the chain of custody. This research offers a framework for incorporating AI in forensic laboratories, while also addressing crucial legal and ethical concerns to ensure the admissibility of AI-analyzed evidence in court. These considerations are essential for the widespread acceptance and use of AI in forensic investigations.

Digital transformation has emerged as a major catalyst for reform in contemporary public administration, reshaping how governments design, deliver, and evaluate public services. This literature review synthesizes key findings from international studies to map the dynamics of technological innovation and bureaucratic adaptation in the era of digital government. The results demonstrate that technologies such as artificial intelligence, blockchain, cloud computing, and the Internet of Things accelerate administrative processes, enhance accuracy, reduce service costs, and strengthen transparency and accountability. However, the review also emphasizes that technological advancement alone is insufficient; the success of digital transformation depends on the capacity of public institutions to reorganize work structures, build digital competencies, and shift bureaucratic culture toward more adaptive and collaborative practices. Furthermore, digital participation platforms have expanded opportunities for citizen engagement, yet persistent digital divides—driven by socio-demographic disparities and unequal access to infrastructure—pose significant challenges to inclusive participation. The literature also reveals recurring barriers related to infrastructure readiness, cybersecurity, resistance to change, and limited digital literacy among public employees. Cross-country evidence from Turkey, Singapore, Italy, Iran, and the UAE shows similar transformation patterns, highlighting bureaucratic adaptation as a mediating factor between technological innovation and governance outcomes. Overall, this review offers an integrated conceptual understanding of digital transformation in public services and underscores the need for holistic strategies that combine technological investment, organizational reform, and inclusive governance to ensure sustainable and equitable digitalization.

Digital transformation through Artificial Intelligence (AI) is imperative for public services, but its implementation in Indonesia faces various challenges. This study analyses the readiness level of the Indonesian bureaucracy and the role of adaptation strategies as a mediating mechanism for successful AI implementation. Using explanatory sequential mixed methods, the study involved 287 respondents from 68 government agencies using PLS-SEM analysis, followed by in-depth interviews with 33 informants from 11 agencies for qualitative exploration. The results indicate that the readiness of the Indonesian bureaucracy is in the moderate category, with human resource readiness as the most critical weakness. PLS analysis confirmed that all readiness dimensions significantly influence adaptation strategies, with human resource readiness as the strongest predictor. Adaptation strategies partially mediated the readiness-implementation relationship, explaining 70.4% of the variance in AI implementation. Qualitative findings identified effective strategies: phased pilot projects, change management through champions, continuous capacity building, incremental implementation, and adaptive governance. Structural barriers include rigid regulations, silo mentality, and political turnover. The study produced the ARSI Framework as a practical guide for AI implementation in the Indonesian public sector, emphasising the importance of strategic execution in translating readiness into successful implementation.

Digital transformation has reshaped community life by increasing internet dependency in daily communication, financial transactions, and public services. However, this rapid development has also intensified cybersecurity risks, particularly link-based scams and the misuse of Artificial Intelligence (AI). Limited digital literacy at the family level makes communities vulnerable to phishing attacks, personal data breaches, and AI-generated fraud. This community service program aimed to strengthen digital literacy among residents of RW 03 Kalipancur, Semarang, through participatory education focusing on link scam detection and responsible AI usage. The program involved interactive lectures, case discussions, simulations, and pre-test and post-test evaluations with 18 participants from family groups, PKK cadres, and elderly residents. The results showed a significant increase in understanding, from an average pre-test score of 43% to a post-test score of 84%. Beyond knowledge improvement, participants demonstrated increased awareness and behavioral change toward safer digital practices. The findings suggest that community-based participatory approaches effectively enhance family-level digital resilience and can serve as a replicable empowerment model in other communities facing similar digital threats.