RESUMO
With the continuous development of artificial intelligence technology, ChatGPT, as an emerging natural language processing technology, although there is currently no mature application mode, its application prospects in the medical field are becoming increasingly broad. However, its application also faces some possible ethical risks and challenges, including personal privacy data leakage, discrimination and bias in machine algorithms, difficulty in defining responsibility, inexplicability of algorithms, and lack of supervision and so on. It is necessary to strengthen the training of relevant personnel, guide public opinion to pay attention to risks, focus on algorithm validation standards, emphasize multi-party cooperation and co-governance, strengthen medical ethics research, as well as deepen regulatory supervision and standardization construction to solve the above problems.
RESUMO
With the development of life science and technology, neuroscience has become one of the fastest growing fields in life science. The application range of neurotechnology involving medical treatment, education, life style and national security, etc. With the development of neuroscience, the ethical problems encountered in the development of neuroscience and neurotechnology have gradually become hot issues, including the research on the ethical issues of neuroscience and its technology applications, and the research on the neural basis of ethics, etc. The discipline of neuroethics has gradually emerged. Based on the horizon of neuroethics, this paper discussed three risks brought by neurotechnology, namely, physical and psychological risk, social risk and future risk. With the application of neurotechnology ethics as the core, the ethical risk should be considered from the aspects of accelerating the development of the discipline of neuroethics, emphasizing respect for the right to life and prudence in the research and application of neurotechnology, and strengthening the ethical governance of neurotechnology.
