Human genome research in sports brings about complex ethical questions related to genetic manipulation for enhancement of performance among athletes. Genes enhancing raises concerns about fairness, equality, and respect for human dignity. This review explores the ethical aspects of human genome research in sports and its potential effect on the integrity of sports. Methodologically, this article provides a systematic analysis of scientific publications and expert insights to explore the ethical challenges of athletic genetics. This study extensively examined the current literature on genetics and sports performance, as well as ethical contradictions in modern science and sports. The literature was searched using Scopus, Google Scholar, and PubMed databases. Keywords included “genetics”, “sports performance”, “ethics”, “bioethics”, “genetic testing”, “human rights”, “sports”. The searching strategy was formulated without time constraints. Thus, both recent and fundamental works in this direction could be included. In conclusion, it is stated in this review that genetic technologies in sports should be developed and applied in accordance with ethical considerations. It is crucial because this is how fundamental principles of fairness, equality, and respect for human dignity can be supported. The review stresses the importance of an open dialogue about the potential influence of genetic advancements on athletic performance, future generations, and integrity of sports.
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The article reviews the concept of predictable harm as a methodological tool for a comprehensive risk assessment while developing and implementing AI-powered medical devices. The study is relevant due to exponential growth of using AI-powered technologies in healthcare and lack of unified approaches to prediction of potential negative consequences of their usage. Existing regulatory approaches to risk assessment, including Russian regulatory documents and international standards, have been analyzed. A multidimensional classification of types of predictable harm is proposed considering the entire life cycle of medical AI systems. Special attention is given to ethical aspects of using artificial intelligence in medicine, including the principles of patient autonomy, equity, non-harm and transparency of algorithms. An expanded matrix for assessing predictable harm has been developed. It integrated technological, clinical and ethical parameters for each stage of development and implementation of AI systems in medical practice. The results of the study can be used as a methodological framework for developers of medical AI systems, regulatory authorities and medical organizations in assessing safety and effectiveness of introducing intelligent technologies into clinical practice.
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