A project called “Remove-DEI” shows the tweaks used to remove “forbidden words” from a database about childhood school readiness.
The updates, shown in Github commits, are to a database for the Department of Health and Human Services’ Head Start program. They show a project called “Remove-DEI,” which reveal some of the back-and-forth that is happening behind the scenes to align federal agencies with Donald Trump’s executive orders that forbid almost anything having to do with race or gender within federal agencies. The Github pages show software engineers discussing amongst themselves how to best remove all instances of “forbidden words” from a specific database, and the code updates they used to do it. The changes also show that, while thousands of government datasets are disappearing from the internet, even ones that remain are having parts of their utility deprecated or broken in a way that may not be visible to those outside the government.
Internals of state structures being mandated some terminology is not really a violation of free speech.
In theory there are two approaches to discrimination - the neutral and the compensatory. The neutral one is that eventually discrimination will dissolve if the structure is built truly neutrally. The compensatory one is to detect kinds of discrimination and compensate for them specifically. I can imagine both the former and the latter feeling nicer in theory. The former - well, no special cases, just prevent the structure itself from reinforcing injustice. The latter - well, everything in life is a special case, you’ll never have a perfect structure, so it’s better to work with what you have.
It’s like different kinds of interference in radio, requiring different solutions. In fact they are not contradictory and both have their place in a working system (I haven’t heard of such).