Wiese Wanja
Philosophisches Seminar, Johannes Gutenberg-Universität Mainz.
Psychiatr Prax. 2021 Mar;48(S 01):S21-S25. doi: 10.1055/a-1369-2824. Epub 2021 Mar 2.
Identifying ethical problems arising from AI research and Computational Psychiatry for psychiatric research and practice.
Conceptual analysis and discussion of ethically relevant projects within Computational Psychiatry.
Computational Psychiatry promises a contribution to improving diagnostics and therapy (prediction). Ethical problems include dealing with data protection, consequences for our self-image, as well as the risk of biologization and the neglect of conscious experience.
It is necessary to consider possible applications of AI and Computational Psychiatry in order to create the conditions for responsible use in the future. This requires a basic understanding of how AI applications work and of the associated ethical problems.
识别人工智能研究和计算精神病学在精神病学研究与实践中产生的伦理问题。
对计算精神病学中与伦理相关的项目进行概念分析和讨论。
计算精神病学有望为改善诊断和治疗（预测）做出贡献。伦理问题包括数据保护、对我们自我形象的影响、生物化风险以及对意识体验的忽视。
有必要考虑人工智能和计算精神病学的可能应用，以便为未来的负责任使用创造条件。这需要对人工智能应用的工作方式以及相关伦理问题有基本的了解。
