RE:WIRED 2021: Timnit Gebru Says Artificial Intelligence Needs to Slow Down

Artificial intelligence researchers are facing a problem of accountability: How do you try to ensure decisions are responsible when the decision maker is not a responsible person, but rather an algorithm? Right now, only a handful of people and organizations have the power--and resources--to automate decision making. Organizations rely on AI to approve a loan or shape a defendant's sentence. But the foundations upon which these intelligent systems are built are susceptible to bias. Bias from the data, from the programmer, and from a powerful company's bottom line, can snowball into unintended consequences.