Artificial selection

Would you agree with an artificial intelligence algorithm deciding which transplant patients should receive donated organs?

By @Alvy — August 7, 2022

I saw a reference to an article written by researchers from the Department of Artificial Intelligence Applied to Medicine at the University of Cambridge, who published an article describing how they found a method Select patients who should receive donated organs using a artificial intelligence algorithm It improves on the current human standard, which, of course, is also based on various mathematical models.

Conclusion: Researchers found that machine learning algorithms (called organ) was able to produce better results in simulations that included a mix of real data and carefully balanced hypothetical data from the last 26 years. these things are complicated For ethical reasons and because there are several factors to consider: The type of organ, its rarity, can offer the recipient years of life, the likelihood of rejection, etc. The new algorithm manages to make particular selections, but the one that maximizes the total number of years of life of the beneficiaries, Something that seems like a good idea and something socially acceptable without any problems.

What they observed was that the algorithms learned to suggest newly available organs, based not only on who could benefit the most, but also The probability that a new similar organ will appear in a short period of time (a factor known as “lack of limb”). It benefits those who need an organ with certain “rare” characteristics, when you know that other compatible organs that do not have (and do not need) them are likely to appear in d other patients. which can take priority over the first.

The work is two years old, but the point is still there. really, organ There is not only one: there are others OrganSync, OrganBoard You eye transplant that focus on a single area of ​​medicine.

It seems to me that if a mathematical model is currently in use and this type of algorithm is an improvement or an extension of the previous one, why not leave the decision in their hands. After all, it can be justified that the outcome is better for society as a whole. Of course, it also shows the importance of explainable artificial intelligence (XAI) able to fully account for the reasons behind their decisions.

{Photo: (CC) Camilo Jimenez @ Unsplash.}