<translate> For whom: This critical step of the equation requires a demographic audit of where these products are currently developed and where the applications are being deployed. Fair EVAs team is currently creating a database of vendors and service providers who are using these technologies to develop voice ID applications. ...Just trying to do that tracing is already challenging, Hutiri explains. The other hurdle is that voice technology in itself is very application-specific. What assumptions or specificities have the technology designers incorporated into the applications to cater to voice changes? For instance; race, gender, age group, sickness, or even mood? <swh>Kwa akina nani: Hatua hii muhimu ya mlinganyo inahitaji ukaguzi wa kidemografia wa mahali ambapo bidhaa hizi zinatengenezwa kwa sasa na wapi programu zinatumwa. Timu ya Fair EVA kwa sasa inaunda hifadhidata ya wachuuzi na watoa huduma wanaotumia teknolojia hizi kuunda programu za kitambulisho cha sauti. ...Kujaribu tu kufanya ufuatiliaji tayari kuna changamoto, Hutiri anaelezea. Kikwazo kingine ni kwamba teknolojia ya sauti yenyewe ni yenye matumizi mahsusi sana. Je, ni dhana au vipengele gani ambavyo wabunifu wa teknolojia wamejumuisha katika programu ili kushughulikia mabadiliko ya sauti? Kwa mfano; rangi, jinsia, rika, ugonjwa, au hata hisia? 