NBT(无边界思维):需要关注数据和人工智能的伦理影响

Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics Pub Date : 2022-08-07 DOI:10.1145/3535508.3545595

J. Peckham, Andrew Perkins, Tayo Obafemi-Ajayi, Xiuzhen Huang

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引用次数: 0

摘要

在这个大数据和人工智能的时代，需要在数据、计算和应用领域的多个方面的专业知识。这需要具有不同培训和观点的专家团队。因为数据分析可能会有严重的伦理问题，所以这些团队必须很好地深入整合。无边界思维(NBT)团队可以为团队的组建和维护提供支持，从而关注数据和分析伦理的许多维度。在本次NBT研讨会上，我们讨论了使用数据和人工智能所产生的伦理问题，以及对团队建设的影响;并为伦理数据科学和人工智能提供建议。

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NBT (no-boundary thinking): needed to attend to ethical implications of data and AI

In this era of Big Data and AI, expertise in multiple aspects of data, computing, and the domains of application is needed. This calls for teams of experts with different training and perspectives. Because data analysis can have serious ethical implications, it is important that these teams are well and deeply integrated. No-Boundary Thinking (NBT) teams can provide support for team formation and maintenance, thereby attending to the many dimensions of the ethics of data and analysis. In this NBT workshop session, we discuss the ethical concerns that arise from the use of data and AI, and the implications for team building; and provide and brainstorm suggestions for ethical data enabled science and AI.

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Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics

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