The question is what are we doing in the industry, or what is the machine learning research community doing, to combat instances of algorithmic bias? So I think there is a certain amount of good news, and it’s the good news that I wanted to focus on in my talk today.
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The mythology of genetic coercion is thoughts that genetic data, especially large-scale genetic databases, have the ability to pinpoint certain risk of disease. They provide agency to act to prevent such disease, and it can be used to create accurate personalized treatment for disease, and it should also be entrusted with the authority to dictate the modification of the genome for future generations.