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Data & Society Databite #101: Machine Learning: What’s Fair and How Do We Decide?

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. 

Data & Society Databite #41: Ifeoma Ajunwa on Genetic Coercion

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.

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