> There’s a lot of finger pointing at metrics and complacency about problems, but the solutions are super vague The solution is obvious, and not vague at all:

> There’s a lot of finger pointing at metrics and complacency about problems, but the solutions are super vague The solution is obvious, and not vague at all: stop over-relying on metrics, and stop pretending that what matters can in most cases be measured.[1] However, I think you dislike this answer (for reasons given in my other reply in this thread) so you are looking for ways to replace bad metrics with better metrics. Which is worthwhile, but not the immediate answer. > just listening to first-person accounts (which is probably a bad idea if you actually want to help). I didn't see in the article where anyone suggested only listening to first-person accounts. However my strong belief is that if you don't listen to and seek out first-person accounts, you have almost no chance whatsoever of doing any good in basically any kind of complex social problem, and a high likelihood of doing harm while patting yourself on the back because some metric you settled on is going up. [1]: Edit to add: This implies not using AI/ML in some areas where it currently is being used. The infamous example of AI grading essays, linked from the article, is one of the most egregious examples of the misuse of ML for something that, to me, is unimaginably, breathtakingly, forehead-slappingly idiotic to give to anyone but people, and not just any people, but the people closest to the students whose work is being graded.