Big Data for Biomedical Research and Personalised Medicine: an Epistemological and Ethical Cross-Analysis

Mathieu Guillermin, T. Magnin
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引用次数: 2

Abstract

Abstract Big data techniques, data-driven science and their technological applications raise many serious ethical questions, notably about privacy protection. In this paper, we highlight an entanglement between epistemology and ethics of big data. Discussing the mobilisation of big data in the fields of biomedical research and health care, we show how an overestimation of big data epistemic power – of their objectivity or rationality understood through the lens of neutrality – can become ethically threatening. Highlighting the irreducible non-neutrality at play in big data tools, we insist upon the ethical importance of a critical epistemological approach in which big data are understood as possibly valuable only when coupled with human intelligence and evaluative rationality.
生物医学研究和个性化医疗的大数据:认识论和伦理交叉分析
大数据技术、数据驱动科学及其技术应用引发了许多严重的伦理问题,尤其是隐私保护问题。在本文中,我们强调了大数据的认识论和伦理学之间的纠缠。在讨论生物医学研究和医疗保健领域的大数据动员时,我们展示了对大数据认知能力的高估——通过中立性的视角来理解它们的客观性或合理性——如何成为道德威胁。强调在大数据工具中不可简化的非中立性,我们坚持一种批判性认识论方法的伦理重要性,在这种方法中,大数据只有在与人类智能和评估理性相结合时才可能被理解为有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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