The Problem with “Biased Data” by Harini Suresh via @Medium

Poorly defined terminology could actually play a role in biased data, says Harini Suresh. “The right terminology forms a mental framework, making it that much easier to identify problems, communicate, and make progress. The absence of such a framework, on the other hand, can be actively harmful, encouraging one-size-fits-all fixes for ‘bias,’ or making it difficult to see the commonalities and ways forward in existing work.”

I like this great article by Harini Suresh. I have noticed that you need to have an agreed set of definitions for all the data fields, the calculations, the methodologies, and even the data sources because that there are so many synonyms and opposing definitions for all of those that you need to measure like with like in the same way if you want to try and avail bias - if you do not you have already lost the battle.