Robotics & AI Ethics

About the Journal

Artificial intelligence humanities Aims to create interdisciplinary and convergence research results that go with the future based on humanistic reflection on rapidly changing artificial intelligence technology and industry, and artificial intelligence technology contained in the language of artificial intelligence is an innovative humanities that is ethical on the meaning of cutting-edge technology and social and phenomena derived from industry.

Through research in fields such as artificial intelligence technology criticism, artificial intelligence relationship and communication, artificial intelligence society and culture, artificial intelligence ethics and norms, and artificial intelligence human data interpretation, it has itself a new academic position in the construction.

This journal is Artificial Intelligence Ethics and aims to create interdisciplinary and convergence research results that go with the future based on humanistic reflection on rapidly changing artificial intelligence technology and industry, and artificial intelligence technology contained in the language of artificial intelligence. Innovative humanities journal that uses ethical education on the meaning of cutting-edge technology and humanities research on social and cultural phenomena derived from industry. Through research in fields such as artificial intelligence technology criticism, artificial intelligence relationship and communication, artificial intelligence society and culture, artificial intelligence ethics and norms, and artificial intelligence human data interpretation, it has established itself as a new academic position in the construction.

The moment is the time when a multidisciplinary journal is needed as the phenomenon of international change in mankind is occurring in a complex way. At the core, analyzes, and provides direction to AI ethics issues that are being discussed internationally.

Detail with a we recommend that potential authors review recent issues to determine whether their paper is appropriate to the journal.

Aims & Scope

• An Analysis of the Multilayered Structure of Global AI Ethics Governance

  Purpose: The governance of global AI ethics is not about declaring the legitimacy of AI ethics per se, but rather analyzing the multi-layered nature of governance, where ethical principles are translated into actual norms, policies, standards, procurement, auditing, and accountability systems. Therefore, the goal is to uncover the following: First, it clarifies the layers of global AI ethics governance and the regulatory instruments used at each layer. Second, it clarifies where coherence and conflict arise between layers, and what mechanisms mediate them. Third, it clarifies how the path from soft regulation, ethics, to quasi-norms or quasi-enforcement, is formed. This leads to proposals for the governance of AI ethics. Method: This study first utilizes a literature review method. It first explores documents that present basic theories related to governance theory and AI ethics policy practice. Next, it examines policy-related documents. Furthermore, some of the content encompasses multi-layered documents containing ethical standards, reports from Big Tech-focused companies, and audit frameworks. Next, it utilizes a comparative analysis method. The previously discussed documents are compared by defining categories such as principles and values, obligations or requirements, sanctions and auditing as enforcement, and scope of application. Finally, it utilizes a developmental research method. This developmental research develops and presents a governance mapping structure. Results: A structural analysis of global AI ethics governance at the international level concretizes the production of principles and competition for legitimacy. At the regional and supranational levels, it unfolds as a strengthening of norms through market integration. At the national level, it manifests as a combination of administrative and supervisory systems and industrial policies. At the industry and sector levels, it converges into a risk-based, detailed framework. At the organizational level, internal governance is institutionalized around ethics committees. At the technological and system level, it is concretized as the codification of ethics, particularly in the context of data governance. Conclusion: At each level, conflicts of value, jurisdiction, responsibility, and technology can arise. Furthermore, competition can arise between regulators in the establishment of norms, the market power of large platforms and cloud providers, standards-setting entities, and auditing power related to the evaluation criteria for market compliance. This will require the establishment of meta-principles that analyze and connect implementation requirements, interoperability strategies among entities necessary to resolve conflicts at each level, and the internalization of accountability and redundancy mechanisms. Based on this, it is suggested that for specific countries or actors to secure initiative, they need to participate in strategic standardization, establish procurement standards, and establish industry-specific guidelines to become both adopters and producers of global norms.

  2026.01.12

  Keyword:Global AI Ethics, Governance, Multi-Layered Structural Analysis, Meta-Principles, AI Ethics Initiatives
  Abstract PDF Links
• Artificial Intelligence in the Hospitality Industry: A Review of Research Trends on Customer Experience, Operational Efficiency, and Ethical Issues

  Purpose: Artificial intelligence (AI) has become a transformative force in the hospitality industry, reshaping service delivery, operational management, and ethical governance. As AI-based technologies, such as chatbots, service robots, and algorithm-driven decision-support systems, are increasingly adopted, hospitality organizations face both opportunities for efficiency and personalization, as well as challenges related to trust, labor, and ethical responsibility. Despite a rapidly growing body of literature, existing studies remain fragmented, often focusing on isolated applications or outcomes. Method: The purpose of this study is to systematically review recent research on the utilization of artificial intelligence (AI) in the hospitality industry and to analyze it across three key dimensions: customer experience, operational and managerial efficiency, and ethical and social issues. A structured literature review approach was employed to synthesize recent academic studies and identify major research themes and future research directions. Portions of this manuscript were developed with the assistance of generative artificial intelligence; however, all content was critically reviewed and finalized by the authors to ensure academic rigor and integrity. Results: The review reveals three dominant research streams in hospitality AI studies. First, AI-based services enhance service accessibility, responsiveness, and personalization, positively affecting customer experience. Second, AI contributes to operational efficiency through demand forecasting, pricing, and decision support. However, these benefits are accompanied by workforce-related challenges. Third, ethical issues such as privacy protection and algorithmic transparency have gained increasing attention. Conclusion: This study argues that the sustainable adoption of AI in hospitality depends on balancing techno-logical efficiency with human-centered service values and ethical accountability. By providing an integrative over-view of existing research, this review contributes to a more comprehensive understanding of AI-driven transformation in the hospitality industry and offers directions for future research and the responsible implementation of AI.

  2026.01.12

  Keyword:Artificial Intelligence, Hospitality Industry, Customer Experience, Operational Efficiency, AI Ethics
  Abstract PDF Links
• A Study on the Institutionalization and Legal Improvement of Private Security and Security Services using AI and IoT Technology

  Purpose: With the rapid advancement of Fourth Industrial Revolution technologies, particularly artificial intelligence (AI) and the Internet of Things (IoT), the private security and protection industry has undergone a fundamental transformation. Advanced technologies such as intelligent CCTV systems, drones, biometric identification, and IoT-based sensor networks have accelerated the shift from labor-intensive security models to technology-driven integrated security systems. Despite this transformation, Korea’s Security Services Industry Act has not kept pace with technological innovation, resulting in persistent institutional and legal gaps concerning legal definitions, licensing and supervision frameworks, technology certification, and liability allocation. This study aims to propose directions for the institutionalization and legal reform of AI- and IoT-based private security and protection services in Korea. Method: This study adopts a qualitative research design based on an analysis of recent developments in security technologies and their applications within the private security and protection sector. A comprehensive review of relevant domestic and international literature, legal statutes, and policy documents was conducted. In addition, a comparative legal analysis of major foreign jurisdictions was undertaken to examine how technology-based security services have been legally recognized and regulated. Through this approach, implications for improving Korea’s legal and institutional framework were derived. Results: The results reveal a structural imbalance in Korea’s private security system, in which legal and institutional reforms significantly lag behind technological adoption. Three major challenges were identified: ensuring transparency and accountability in AI-driven decision-making processes, enhancing the reliability and integrity of data management systems, and safeguarding personal information. These challenges frequently conflict within the existing regulatory framework. Moreover, current legislation lacks clear provisions regarding the legal status of technology-based security services, standardized technology certification systems, and clearly defined supervisory authority, thereby perpetuating regulatory uncertainty. Conclusion: This study concludes that clarifying the legal status of AI- and IoT-based private security and protection services is essential for the sustainable development of the industry. Furthermore, establishing a convergence security governance framework based on cooperation between public and private sectors is necessary. Le-gal and institutional reforms should prioritize the introduction of technology certification mechanisms, the clarification of accountability structures, and the achievement of a balanced approach between transparency and personal data protection. While this study is limited by its reliance on literature review and institutional analysis, future research incorporating empirical data, in-depth interviews with practitioners and policymakers, and policy simulation studies is recommended to support practical implementation and legislative advancement.

  2026.01.12

  Keyword:Internet of Things(IoT), AI, Private Security, Guard Services, Legal Institutionalization
  Abstract PDF Links
• A Study on the Investigative Powers of Northeast Asian Intelligence Agencies in the Era of AI, Deepfake Advanced Technologies

  Purpose: Northeast Asia has experienced rapid economic growth, leading to affluence. At the same time, the development of the Internet has led to an indiscriminate influx of information, transforming the security environment. In a knowledge-based information society, the emergence of the Internet and social networking services (SNS) has made national security inextricably linked to (1) technical cyberattacks and (2) psychological cyberattacks. While espionage in the past was conducted under orders, it is now shifting to the role of self-generated national security crimes. This is a tactic that uses the enemy nation's internet and social media operations to organically increase anti-state organizations, ultimately fostering a social atmosphere that benefits their own nation's interests. Method: Based on previous studies, this research established an analytical framework to demonstrate the necessity of the study, drawing on current laws, domestic and international monographs, academic articles, research reports, legislative materials from the National Assembly, news articles, and statistical data from government agencies. Results: This study is an expanded and revised English version of a paper originally published in Korean. Building on the previous discussion of establishing a personnel management system for intelligence agencies, expanding professional manpower, and strengthening inter-agency cooperation, this study further examines the necessity of investigative powers for intelligence agencies in the era of AI and deepfake technologies. Conclusion: Northeast Asia, a buffer state between major powers, has consistently faced national security crises such as war, terrorism, and assassinations. Now, in the era of AI and deepfake technology, it faces a new phase. Therefore, this study examines the threats we face and suggests the role of intelligence agencies in the age of AI and deepfake technology.

  2026.01.12

  Keyword:AI, Deepfake Technology, Northeast Asia's Buffer State, Investigative Powers, Intelligence Agencies
  Abstract PDF Links
• Research on the Educational Effects of Edu-Tech Application based on Book Creator in Aviation Major Education

  Purpose: This study aims to explore the educational effects of integrating Book Creator—a digital edu-tech platform—into learner-centered, reflective practice within practical airline service interview practice and English courses. Specifically, the research investigates how the use of such digital tools fosters improvements in students' self-regulated learning abilities, practical professional competencies, intrinsic learning motivation, and overall satisfaction with the educational process in aviation service programs. By focusing on the repeated cycle of action, feedback, and self-reflection across a series of authentic tasks, this study seeks to provide empirical evidence for the meaningful role of edu-tech solutions in future-oriented higher education. Method: Two representative courses, Air Service Interview Practice and Airline Transport English, were selected and Book Creator activities were integrated into a six-week instructional design. The lessons followed a three-phase cycle: pre-class digital content study, in-class practical activities, and post-class assessment with repeated self-reflection. Students built digital portfolios, and data were gathered through instructor evaluation rubrics, satisfaction surveys, and in-depth qualitative interviews. Changes in instructor feedback and student self-assessment before and after the intervention were analyzed to comprehensively evaluate the educational impact of edu-tech integration. Results: The results showed that Book Creator-based lessons positively influenced not only students' self-regulated learning abilities, but also their practical English communication skills and preparation for real-world air service interviews. Students accumulated weekly video assignments and self-reflection records, which enabled them to clearly recognize their achievements and growth through their portfolios. Diverse feedback from instructors and peers, along with the experience of visualizing personal development, had a significant impact on both their satisfaction and learning motivation. Furthermore, the portfolios served as valuable resources not only for academic assessment but also for job preparation, while instructor feedback became increasingly individualized, detailed, and efficient in the digital environment. Conclusion: Taken together, the results indicate that edu-tech tools such as Book Creator provide an effective foundation for supporting self-directed learning, practical skill development, and differentiated feedback design in aviation service education. The digital portfolio system enables sustainability in learning and the visualization of specific growth records, systematically supporting individual student progress. Future research should apply this model to other disciplines and educational settings, and conduct longitudinal studies to further validate the effects of edu-tech in higher education.

  2026.01.12

  Keyword:Edu-Tech, Book Creator, Self-Regulated Learning, Aviation Service Education, Portfolio Assessment
  Abstract PDF Links

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