Tuesday, January 14, 2020

Technology Can't Fix Algorithmic Injustice; Boston Review, January 9, 2020

Annette Zimmermann, Elena Di Rosa, Hochan Kim, Boston Review; Technology Can't Fix Algorithmic Injustice

We need greater democratic oversight of AI not just from developers and designers, but from all members of society.

"In the end, the responsible development and deployment of weak AI will involve not just developers and designers, but the public at large. This means that we need, among other things, to scrutinize current narratives about AI’s potential costs and benefits. As we have argued, AI’s alleged neutrality and inevitability are harmful, yet pervasive, myths. Debunking them will require an ongoing process of public, democratic contestation about the social, political, and moral dimensions of algorithmic decision making.

This is not an unprecedented proposal: similar suggestions have been made by philosophers and activists seeking to address other complex, collective moral problems, such as climate change and sweatshop labor. Just as their efforts have helped raise public awareness and spark political debate about those issues, it is high time for us as a public to take seriously our responsibilities for the present and looming social consequences of AI. Algorithmic bias is not a purely technical problem for researchers and tech practitioners; we must recognize it as a moral and political problem in which all of us—as democratic citizens—have a stake. Responsibility cannot simply be offloaded and outsourced to tech developers and private corporations."

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