That makes me think of how France has rules against collecting racial and ethnic data in surveys and the like, as part of a “colour blind” policy. There are many problems with this, but it was especially evident during the pandemic. Data from multiple countries showed that non-white people faced a significantly higher risk of dying from COVID-19, likely contributed to by the long-standing and well documented problem of having poorer access to healthcare and poorer standards of care once they actually are hospitalised. It is extremely likely that this trend also existed in France during the pandemic, but because they didn’t record ethnicity data for patients with COVID-19, we have no idea how bad it was. It may well have been worse, because a lack of concrete data can inhibit tangible change for marginalised communities, even if there is robust anti-discrimination laws.
Looking back at the AI example in your comment though, something I find interesting is that one of the groups of people who strongly believe that we should take race context into account in decision making systems like this are the racist right-wingers. Except they want to take it into account in a “their arrest record should count for double” kind of way.
I understand why some progressive people might have the instinct of “race shouldn’t be considered at all”, but as you discuss, that isn’t necessarily an effective strategy in practice. It makes me think of the notion that it’s not enough to be non-racist, you have to be anti-racist. In this case, that would mean taking race into account, but in a manner that would allow us to work against historical racial inequities
That makes me think of how France has rules against collecting racial and ethnic data in surveys and the like, as part of a “colour blind” policy. There are many problems with this, but it was especially evident during the pandemic. Data from multiple countries showed that non-white people faced a significantly higher risk of dying from COVID-19, likely contributed to by the long-standing and well documented problem of having poorer access to healthcare and poorer standards of care once they actually are hospitalised. It is extremely likely that this trend also existed in France during the pandemic, but because they didn’t record ethnicity data for patients with COVID-19, we have no idea how bad it was. It may well have been worse, because a lack of concrete data can inhibit tangible change for marginalised communities, even if there is robust anti-discrimination laws.
Link if you want to read more
Looking back at the AI example in your comment though, something I find interesting is that one of the groups of people who strongly believe that we should take race context into account in decision making systems like this are the racist right-wingers. Except they want to take it into account in a “their arrest record should count for double” kind of way.
I understand why some progressive people might have the instinct of “race shouldn’t be considered at all”, but as you discuss, that isn’t necessarily an effective strategy in practice. It makes me think of the notion that it’s not enough to be non-racist, you have to be anti-racist. In this case, that would mean taking race into account, but in a manner that would allow us to work against historical racial inequities