The debate about how to make AI safe has ignored the need for a nuanced, targeted approach to regulation, treating algorithmic transparency and explainability like silver bullets without considering their many downsides. There is nothing wrong with wanting to mitigate the potential harms AI poses, but the oversimplified, overbroad solutions put forth so far would be largely ineffective and likely do more harm than good. Algorithmic accountability offers a better path toward ensuring organizations use AI responsibly so that it can truly be a boon to society.
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