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Notes -
New Frontiers in Algorithmic Racism - Tax Edition
The New York Times has an article out on the IRS algorithmically targeting black Americans at higher rates than other racial groups. The claim is that there's something in the algorithm that inappropriately biases it against black Americans. Summarized in the opening paragraphs:
OK, so what exactly is causing them to get audited more if it's not individual bias, the machines are blinded to the race of the individual, and the rules are the same for everyone? Apparently some of it comes down to targeting EITC filings:
Unless I'm missing something, the article does not explicitly state what the relevant factors are that result in this targeting are. In what I see as typical NYT style, it does leave a breadcrumb that might be suggestive if you're ignoring the narrative quotes embedded in the article:
To me, this reads like the most likely explanation for black taxpayers being audited more frequently is that they report their income incorrectly in easy-to-detect ways. Since the IRS already has W-2 data for filers, it's probably not very hard for them to notice when someone reports their income wrong. There isn't really any elaboration that I find after this, so I'm unclear on how much this accounts for auditing disparities. The implication of the article and the quotes from "equity" advocates imply to me that we should figure out a way to make sure that white Americans are audited at least as much as black Americans, regardless of who is misreporting their income more frequently.
As cynical as it sounds, I'm beginning to hear the term "algorithmic bias" as nothing more than a form of projection - algorithm systems frequently detect something real about the world, people with racially motivated politics don't like that outcome, and they seek to shift the algorithm towards a bias in favor of their preferred group. If a program that is optimized for detecting incorrect tax filings works as intended to detect them, but turns up more black Americans than white Americans, the suggestion appears to be to change the weighting until it evens out the races, regardless of the impact on the efficiency of detecting lost revenue. The "algorithmic bias", from my reading of this would be injecting a deliberate racial preference to counter the program noticing actual disparities. I am reminded of the racial resentment scale, in which people who say that "blacks have gotten less than they deserve" are not racially resentful, while those who think things like "Irish, Italian, and Jewish ethnicities overcame prejudice and worked their way up, Blacks should do the same without any special favors" are racially resentful.
Anyway, I'll be curious to see if the study is released more publicly and details what exactly is causing the disparity.
Another case of racializing a real problem thus turning it partisan. Police brutality manifests in ways that non BLM- supporters could see and even in ways that BLM would find difficult to explain (the recent incident 5 Black cops beating up a Black guy), but the topic which could previously unify disparate interests, now bitterly divides.
From my, non-American, understanding there is a corrupt relationship between TurboTax and US lawmakers which leads to this proprietery software being basicly required to file taxes. Now the topic of filing taxes is at risk of suffering the same fate where instead of the goal being to make it more intuitive and less likely likely for laymen to make mistakes, racism is blamed and nothing which solves the problem is done.
Eh. IRS Free File allows anyone with an adjusted gross income under $73000 to use tax software for free.
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