Robotics & AI Ethics

Purpose: The purpose of this study is to explore innovative teaching methods to enhance the effectiveness of university major courses which is “Service interview practice ll” through the synergy between Artificial Intelligence (AI) and Human Intelligence (HI). To achieve this, a quality management system for the curriculum was established based on the ADDIE model, and the direction for curriculum improvement was presented through learner needs analysis and the setting of learning objectives. The study aims to contribute to the development of learner-centered curricula by effectively utilizing AI technologies. Method: This research was conducted by analyzing a course that took place over one semester. Following the ADDIE model, the course syllabus was reviewed, and improvement points were derived based on student evaluations. The researcher utilized AI tools to generate course plans and assessment criteria, collecting various responses in the process to ultimately select the most suitable outcomes. This methodology facilitated a collaborative approach between AI and HI. Results: The analysis of the course syllabus revealed that overall course objectives, as well as the concepts of coaching by instructors, peer coaching, and self-coaching, were clearly articulated, and assessment criteria were strengthened. Notably, the introduction of results-oriented goal-setting allowed students to conduct self-assessments after midterm exams through discussions with instructors, thereby establishing a framework to monitor learner progress. The assessment methods were divided into external and internal evaluations, providing a foundation for more systematic and specific feedback. Conclusion: This study emphasizes the need for continuous enhancement of teaching effectiveness through collaboration between AI and HI. It particularly suggests that the design of major courses should enable learners to acquire competency-based skills, highlighting the necessity for the development and improvement of diverse teaching methods. Future research should seek ways to improve classes by leveraging the various functionalities of AI and expanding the possibilities of generative AI. These efforts will ultimately contribute to enhancing the quality of higher education.

Purpose: This study aims to examine ethical issues arising from generative artificial intelligence. Generative artificial intelligence is a field of artificial intelligence that focuses on computer models capable of generating original content. Therefore, the purpose is to clarify the nature of creativity in the output produced by AI, explore the scope of recognition of creativity, and examine ethical issues arising from this. Method: This study first uses the method of literature review to review various discussions on creativity and AI. Next, it models the scope of ethical discussions on the output of generative AI using the method of development research. Based on this, it presents the developed model to explore the scope of recognition of ethical issues related to the use of generative AI. Results: The results of this study reveal the following points. The ethical issues that arise from generative AI are generally proposed in the form of a complex matrix. The vertical axis can be arranged to focus on creativity and to arrange elements related to the life cycle of information, from the production of information itself to distribution and consumption. These are represented by elements of copyright, responsibility, false and manipulated information, personal information and personality rights, and misuse of information. The horizontal axis can be ar-ranged to focus on the use of AI and to arrange ethical elements related to it. These are represented by elements such as data theft, labor exploitation, and excessive energy consumption. Conclusion: The conclusion of this study suggests that the Factors related to creativity and factors related to the use of AI form a matrix and function as a model for exploring ethical issues that should be reviewed in the correlation between creativity and AI. This functions as an ascending model that forms a three-dimensional plane with ethical considerations as the central axis in the operation process of generative artificial intelligence.

Purpose: Artificial intelligence (AI) in Korea is bringing about innovation along with the technological development of global companies such as Samsung Electronics and Hyundai Motors, and the ethics of AI are being dealt with centered on humans through cooperation between the government, academia, and companies. How-ever, the role of the police in cybersecurity threats should also be dealt with very importantly in the development of AI, so this study aimed to analyze the awareness of AI ethics according to the gender, age, education level, and workplace size of police officers. Method: The data processing of this study was done using the statistical package program SPSS 23.0 Program. According to the purpose of the data analysis, first, frequency analysis was performed to identify general characteristics using the SPSS/PC+23.0 program. Second, a t-Test was performed to find out the difference in awareness of AI ethics according to the gender of police officers. Third, a One Way ANOVA was performed to find out the difference in awareness of AI ethics according to the age and education level of police officers. Fourth, a t-Test and One Way ANOVA were performed to find out the difference in awareness of AI ethics according to the work area and number of employees of police officers. Results: Korean police officers were fully aware of the ‘ethical and legal issues’ and ‘government responses’ of AI, but showed differences in the priority of establishing legal grounds for AI depending on gender and education level, and in the awareness of granting electronic personality depending on the size of the workplace. Conclusion: Police officers’ awareness of AI ethics is essential to securing social trust through fair law enforcement, protection of personal information, clarity of responsibility, and transparent decision-making. AI technology is expected to lead to innovation in all areas of police work, including crime prediction, facial recognition, data analysis, digital forensics, traffic management, and emergency response. Therefore, police officers’ awareness of AI ethics explored in this paper will play an important role in the changes in future police work.

Purpose: This study aims to explore areas of ethical inquiry related to artificial intelligence and what tasks need to be solved in each area. Method: We reviewed various Eastern and Western literature and various media reports related to artificial intelligence and artificial intelligence ethics. Results: Artificial intelligence technology is widely used in almost all fields, and is seeking development to the stage of general artificial intelligence (AGI), which is similar to human natural intelligence. In this process, unethical issues are being raised along with serious concerns that artificial intelligence may threaten humans. Accordingly, areas that need to be ethically explored in relation to artificial intelligence are divided into four areas: establishment of ethical principles for establishing artificial intelligence policy, ethical prediction and analysis in artificial intelligence research, artificial intelligence developer ethics, and artificial intelligence user ethics. It can be. Conclusion: Tasks to be solved in each area of ethical inquiry include the creation of international level ethical principles and treaties and monitoring organizations, the development of 'explainable artificial intelligence' technology for ethical prediction and analysis of artificial intelligence, and engineering ethics for artificial intelligence developers. The establishment of the concept, development of the education system, and development of an integrated artificial intelligence education program for artificial intelligence users were presented.