TY - GEN
T1 - Ethical Implementation of Artificial Intelligence to Select Embryos in in Vitro Fertilization
AU - Afnan, Michael Anis Mihdi
AU - Rudin, Cynthia
AU - Conitzer, Vincent
AU - Savulescu, Julian
AU - Mishra, Abhishek
AU - Liu, Yanhe
AU - Afnan, Masoud
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/7/21
Y1 - 2021/7/21
N2 - 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 that result from the use of black-box methods in this context and advocate strongly for the use of interpretable models. Importantly, there have been no published trials of clinical effectiveness, a problem in both the AI and IVF communities, and we therefore argue that clinical implementation at this point would be premature. Finally, we discuss ways for the broader AI community to become involved to ensure scientifically sound and ethically responsible development of AI in IVF.
AB - 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 that result from the use of black-box methods in this context and advocate strongly for the use of interpretable models. Importantly, there have been no published trials of clinical effectiveness, a problem in both the AI and IVF communities, and we therefore argue that clinical implementation at this point would be premature. Finally, we discuss ways for the broader AI community to become involved to ensure scientifically sound and ethically responsible development of AI in IVF.
UR - http://www.scopus.com/inward/record.url?scp=85112411784&partnerID=8YFLogxK
U2 - 10.1145/3461702.3462589
DO - 10.1145/3461702.3462589
M3 - Conference contribution
AN - SCOPUS:85112411784
T3 - AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
SP - 316
EP - 326
BT - AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
PB - Association for Computing Machinery (ACM)
T2 - 4th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2021
Y2 - 19 May 2021 through 21 May 2021
ER -