Ethical factors

Background: One of the concepts that has been proposed in order to increase human resources is to pay attention to the factors affecting employee motivation. The purpose of this study is to "investigate the relationship between ethical factors and job motivation in the employees of North Khorasan Power Distribution Company". Method: The present study was applied in terms of purpose and descriptive-survey in terms of type of research. The statistical population includes all employees of 191 North Khorasan Power Distribution Company and the sample according to Cochranchr('39')s formula is 127 people and the stratified random sampling method. Research data were collected by two researcher-made questionnaires of effective factors for job motivation and job motivation questionnaire. Pearson correlation coefficient and regression tests were used to analyze the data and generalize the results using SPSS21 statistical software. Results: The results showed that ethical factors have a significant relationship with job motivation and job motivation of employees of North Khorasan Power Distribution Company and the highest relationship with the factors of ethical relationship between manager and employees (0.430), non-abuse of authority (respectively). 0.340), had a sense of responsibility (0.163), moral empowerment (0.131) with job motivation of employees. Conclusion: The main achievement of the study showed that there is a significant relationship between ethical factors (empowerment, managerchr('39')s relationship, delegation, job appreciation, and feeling of ownership) and job motivation.

Introduction: Given the expansion of numerous applications of artificial intelligence in the daily activities of human societies and the ethical obstacles that may arise in this direction, the need for a detailed and comprehensive examination of these issues is felt more than ever. Therefore, this study was developed with the aim of examining the challenges of ethical use of artificial intelligence technology. Material and Methods: This study is applied in terms of purpose and descriptive-survey in terms of data collection. Library methods, searching through electronic sources, and field study were used to collect data. In the field method, a questionnaire was used. The research community is experts and specialists in the field of artificial intelligence, 15 of whom were selected through purposive sampling (snowball sampling). By reviewing the literature, 6 obstacles related to the ethical use of artificial intelligence were identified; the DEMATEL method and Excel and MATLAB software were used to analyze the data and evaluate the cause-and-effect relationships between the obstacles. Results: The results show that among the 6 identified barriers (lack of accountability, lack of transparency, lack of legal regulations, possibility of bias and discrimination, violation of data privacy, and violation of social justice and livelihood of individuals), the barrier of lack of transparency, followed by the lack of legal regulations, are considered to be the most important and influential barriers to the ethical use of AI. Also, the barriers of data privacy violation and violation of social justice and livelihood of individuals were identified as the most influential barriers among the aforementioned barriers. Conclusion: The findings of this study indicate the importance and causal relationships governing the existing barriers to the ethical use of AI and can help experts and managers in this field in designing AI systems and making decisions in order to comply with ethical principles.