In the past decade, data-driven technologies have transformed the world around us. We’ve seen what’s possible by gathering large amounts of data and training artificial intelligence (AI) to interpret it – computers that learn to translate languages, facial recognition systems that unlock our smartphones, and algorithms that identify cancers in patients. The possibilities are endless.
But these new tools have also led to serious problems. What machines learn depends on many things, including the data used to train them.