Remember the computer-science maxim Garbage in, garbage out? So goes big data in artificial intelligence (AI). The historical data we use to train the machines in AI research continue to reflect biases that many of us have hoped to relegate to the past. But, if you ask the machines, women belong in the home and Black men belong in prison. So what should you do if your company requires you to design systems that rely on big data that might be faulty or technologies such as voice or facial recognition that have proven to perpetuate gender and racial biases? Start by understanding the problem so you can avoid the mistakes of the past…
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