Document Type : Original Article
Author
Assistant Professor, Department of Public Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract
The present scientific-applied research aims to address the issue of how to manage artificial intelligence in light of value, ethical, and professional issues, while also diagnosing the pathology of the ethical problems. To this end, the definition of the problematic situation was carried out through a meta-synthesis of scientific based on the Sandelowski and Barroso model. To examine the validity and reliability of the findings, In addition to examining Cohen's Kappa agreement coefficient, the coding agreement method was used in qualitative analysis, which was analyzed and confirmed from the perspective of up-to-dateness, applicability, reliability, transferability, verifiability, reliability, and believability. Based on the research findings in the field of professional management of artificial intelligence ethics, two core codes of individual-organizational unethical behavior in the deployment of artificial intelligence were identified, including five sub-codes, and professional requirements for the deployment of artificial intelligence ethics, including seven sub-codes.
Based on the codes mentioned in the conflict campaign of AI-AI, professional ethics-unprofessional ethics, artificial ethics-real ethics, and real intelligence-AI, the conceptual model of the research considers the fulfillment of the most important responsibility of human resource managers in the era of digitalization of resources to be subject to the exercise of organizational soft power, including institutionalized professionalism in the actors and directors of AI technologies. As a result, it is appropriate for planners, programmers, program adopters, and even the elusive program of this artificial intelligence to pay special attention to the soft power of professionalism to develop AI ethically.
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