> They say it is a dangerous example of 'technosolutionism': turning to technology to provide quick fixes for deep-rooted discrimination issues that require inv

> They say it is a dangerous example of 'technosolutionism': turning to technology to provide quick fixes for deep-rooted discrimination issues that require investment and changes to company culture. I definitely agree with this sentiment, however I think it's also important to remember how bad human reviewers are. I think a lot of times, because it is harder to collect data measuring the effect of human systems, we focus on how bad AI systems are. At least with an algorithm you can: - try to identify biases via testing - back test changes to see how those biases change I think given the choice between equally biased human and algorithmic systems, I would have more faith that the algorithmic system could be meaningfully changed in the near term than a human system.