Gennai suggested that some compromises might be necessary in order to pick up the pace of product releases. The company assigns scores to its products in several important categories, meant to measure their readiness for release to the public. In some, like child safety, engineers still need to clear the 100 per cent threshold. But Google may not have time to wait for perfection in other areas, she advised in the meeting.
Silicon Valley as a whole is still wrestling with how to reconcile competitive pressures with safety. Researchers building AI outnumber those focused on safety by a 30-to-1 ratio, the Center for Humane Technology said at a recent presentation, underscoring the often lonely experience of voicing concerns in a large organization.
Three years later, the company said it did not fix the underlying AI technology, but instead erased all results for the search terms “gorilla,” “chimp,” and “monkey,” a solution that it says “a diverse group of experts” weighed in on. The company also built up an ethical AI unit tasked with carrying out proactive work to make AI fairer for its users.
Those who remained working on ethical AI at Google were left questioning how to do the work without putting their own jobs at risk. “It was a scary time,” said Nyalleng Moorosi, a former researcher at the company who is now a senior researcher at the Distributed AI Research Institute, founded by Gebru. Doing ethical AI work means “you were literally hired to say, I don’t think this is population-ready,” she added. “And so you are slowing down the process.
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