Assessing Ethical Issues in Biomedical Research Using Artificial Intelligence: Developing Tools

Background: The use of Artificial Intelligence (hereinafter referred to as AI) is now at the core of almost every activity. The methodological problem of studying AI ethics is the lack of reflection on the identification of basic principles of AI ethics, the designation of which would create a foundation on the basis of which mechanisms of ethical reflection, learning of both humans and AI are developed. Methods: The study was conducted in January-February 2023 by means of a questionnaire survey of 105 participants involved in scientific research in the field of biomedicine, members of ethics committees. Statistical processing of the results of the study was conducted using standard statistical analysis programs.Discussion: In most cases, research participants understand what artificial intelligence is and are familiar with the term. Respondents are willing to use artificial intelligence in their daily practice and expect it to significantly reduce time resources and increase the efficiency of their work. The most worrying issue among respondents was responsibility for results (human/artificial intelligence) (Figure 1). Respondents identified principles related in one way or another to safety and harmlessness to humans as the main ethical principles on which artificial intelligence should be evaluated and developed (Figure 2). Conclusions: The pilot study revealed some problematic points in the understanding of AI. It demonstrated the relevance of work in this area and served as a starting point for further work.