“Human in the loop” is a popular way to mitigate the risks of AI. That approach might be doomed

Human and robot

I’ve written in the past about how fuzzy the line between “good” and “evil” data science and artificial intelligence (AI) can be. Ethical issues arise with AI that are neither clear cut nor easy to navigate. One of the popular ways to mitigate the risks of AI is to pursue a “human in the loop” strategy where people still retain ultimate decision authority for major decisions. In this blog, I’ll explain why that approach may be doomed for failure as a primary tool for stopping “evil” AI from being deployed.

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