Artificial intelligence and assisted reproductive technology: Applying a reproductive justice lens

Riikka Homanen, Neil McBride, Nicky Hudson
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Abstract

In recent years, health-data-driven artificial intelligence and machine learning applications have been introduced to many areas of medicine. In the field of assisted reproduction, artificial intelligence and machine learning applications and related technologies have been hailed as (potentially) significant and ground-breaking, not least because they promise standardisation and automation in in-vitro fertilisation clinics – a precondition for scaling up and branching out in the fertility bioindustry. Artificial intelligence data-driven algorithms promise time- and cost-effective selection of ‘high-quality’ reproductive cells and successful personalised treatments. In this essay, we aim to critically discuss artificial intelligence as a technological clinical practice, which is currently moving from bench to bedside internationally. Through an analytic framework of reproductive justice, we propose that introducing artificial intelligence into this already stratified context threatens to black-box health disparities and to generate what we refer to as ‘hyper-stratifications’ of reproduction in the context of rising health and social disparities in the European context. As feminist, social science and bioethics scholars, we are all too aware of how reproductive technologies reinforce normativities rather than unravel them. We cannot presume that artificial intelligence is an ethical technological agent or user of health data but, instead, need to keep a critical eye on the moral ambivalence of emerging and evolving artificial intelligence-assisted reproduction technologies practices and their gendered consequences. Given the current hype around artificial intelligence, but also with concerns around the fast development and deployment of artificial intelligence generally and in artificial intelligence-assisted reproduction technologies particularly in mind, there is an urgent need to engage in critical feminist discussion of such developments.
人工智能和辅助生殖技术:应用生殖正义视角
近年来,以健康数据为驱动的人工智能和机器学习应用已被引入许多医学领域。在辅助生殖领域,人工智能和机器学习应用及相关技术被誉为具有(潜在的)重大意义和开创性,这不仅是因为它们有望实现体外受精诊所的标准化和自动化--这是生殖生物产业扩大规模和拓展业务的先决条件。人工智能数据驱动的算法有望在时间和成本上高效地筛选出 "优质 "生殖细胞,并成功实现个性化治疗。在本文中,我们旨在批判性地讨论人工智能作为一种技术临床实践,目前正在国际范围内从工作台走向床旁。通过生殖正义的分析框架,我们提出,在欧洲健康和社会差距不断扩大的背景下,将人工智能引入到这一已经分层的环境中,有可能黑箱化健康差距,并产生我们所说的生殖 "超分层"。作为女权主义者、社会科学和生物伦理学学者,我们都非常清楚生殖技术是如何强化而非消除规范性的。我们不能假定人工智能是一种合乎道德的技术媒介或健康数据的使用者,相反,我们需要对新兴的和不断发展的人工智能辅助生殖技术的道德矛盾性及其性别后果保持批判性的关注。鉴于当前对人工智能的炒作,同时也考虑到对人工智能快速发展和部署的担忧,特别是对人工智能辅助生殖技术的担忧,迫切需要对这些发展进行批判性的女权主义讨论。
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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