Sometimes, I think both sides are missing vocabulary and caught up in their own abstractions. I find the most compelling HSS and CS work on algorithms to be anchored to a real world case study, where it is near impossible to escape political context as well as technical details. https://twitter.com/tetisheri/status/1315895552442163201

I notice that there's now a lot of social science critique of the quantitative work in defining algorithmic bias, but I've read HSS work that's just as theoretically abstract & equally disengaged from the affected population. You don't need math equations for that!

And there's the further risk of oversimplifying the technical details of the algorithm itself in order to make that social commentary. It seems like this is one of those truly interdisciplinary problems where neither discipline can successfully understand what's going on its own.