New technologies such as artificial intelligence often end up multiplying effects set in motion by earlier generations of technology. Such appears to be the case with Artificial Intelligence applied to healthcare according to an article in AXIOS by Miriam Vogel.
Because earlier generations of medical research have focused on men and individuals of European descent, the databases available for artificial intelligence provide less useful information for the diagnosis and treatment of women and minority populations. This can result in missed opportunities to provide appropriate care to these individuals.
Although there will be some ways to address bias in algorithms through regulation, there may be more hope in turning the new generation of technologies, notably AI, to the task of ferreting out bias and developing ways to overcome it.
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