Are machines racist? Are algorithms and artificial intelligence inherently prejudiced? Do Facebook, Google, and Twitter have political biases? Those answers are complicated.
But if the question is whether the tech industry doing enough to address these biases, the straightforward response is no.
Warnings that AI and machine learning systems are being trained using “bad data” abound. The oft-touted solution is to ensure that humans train the systems with unbiased data, meaning that humans need to avoid bias themselves. But that would mean tech companies are training their engineers and data scientists on understanding cognitive bias, as well as how to “combat” it. Has anyone stopped to ask whether the humans that feed the machines really understand what bias means?
Companies such as Facebook—my former employer—Google, and Twitter have repeatedly come under attack for a variety of bias-laden algorithms. In response to these legitimate fears, their leaders have vowed to do internal audits and assert that they will combat this exponential threat. Humans cannot wholly avoid bias, as countless studies and publications have shown. Insisting otherwise is an intellectually dishonest and lazy response to a very real problem.