Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro Fertilization
Michael Anis Mihdi Afnan, Cynthia Rudin, Vincent Conitzer, Julian, Savulescu, Abhishek Mishra, Yanhe Liu, Masoud Afnan

TL;DR
This paper reviews the use of AI in embryo selection for IVF, emphasizing the ethical considerations, the importance of interpretable models, and the need for rigorous clinical validation before implementation.
Contribution
It highlights ethical issues in AI-driven IVF, advocates for transparent models, and calls for more clinical trials to establish safety and effectiveness.
Findings
No published clinical trials of AI in IVF yet
Black-box AI methods pose ethical and interpretability issues
Call for responsible AI development and validation in IVF
Abstract
AI has the potential to revolutionize many areas of healthcare. Radiology, dermatology, and ophthalmology are some of the areas most likely to be impacted in the near future, and they have received significant attention from the broader research community. But AI techniques are now also starting to be used in in vitro fertilization (IVF), in particular for selecting which embryos to transfer to the woman. The contribution of AI to IVF is potentially significant, but must be done carefully and transparently, as the ethical issues are significant, in part because this field involves creating new people. We first give a brief introduction to IVF and review the use of AI for embryo selection. We discuss concerns with the interpretation of the reported results from scientific and practical perspectives. We then consider the broader ethical issues involved. We discuss in detail the problems…
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