jonny,
@jonny@neuromatch.social avatar

sometimes big data solutionism jumps the shark and is just very funny

harnessing the vast amounts of data generated in every sphere of life and transforming them into useful, actionable information and knowledge is crucial to the efficient functioning of a modern society

from NSF's Open Knowledge Network roadmap

theLastTheorist,

@jonny Finally, a system that will tell us who's going to win the next election.

jonny,
@jonny@neuromatch.social avatar

@theLastTheorist elections conspicuously absent from the roadmap, i think nobody wants to touch that rn lol

theLastTheorist,

@jonny Maybe they ingested the research and it gave the OKN indigestion. That's what happened to me at least.

ngaylinn,

@jonny
Step 1: Gather everyone's personal data into one centralized database.
Step 2: ...
Step 3: Profit!

jonny,
@jonny@neuromatch.social avatar

@ngaylinn the story of capitalism for the last few decades in 3 lines

ngaylinn,

@jonny I'm so tired of folks stubbornly trying to fix people problems with technology.

jonny,
@jonny@neuromatch.social avatar

@ngaylinn you and me both.

jonny,
@jonny@neuromatch.social avatar

every sphere of life you say? that sounds serious

jonny,
@jonny@neuromatch.social avatar

look I just really like Brazil and think it deserves to be among the "1984 brave new world" dystopia canon

A report from Wired and Lighthouse Reports that gained unprecedented access to an algorithmic social service system created by Accenture for the city of Rotterdam shows how the discretion of caseworkers and a purportedly “objective” algorithm together create a profoundly discriminatory system [145, 146]. Caseworkers make subjective determinations like an applicant showing signs of low self-esteem or whether they can “deal with pressure” and feed them along with characteristics like age and gender into an opaque set of decision trees to determine whether they should be investigated for benefits fraud. The opacity of the system makes it rich with opportunities for discretionary bias that, again, can be both intentional and unintentional. For example, the mere presence of a comment on motivation or attitude increases ones likelihood of being flagged for investigation, even if that comment is positive. Intentional and unintentional welfare fraud are undifferentiated in the training data, making language barriers — a source of accidental fraud from not understanding the system — a primary determinant of investigation. In the case of the OKN, merging data from many governmental systems under the aegis of algorithmic fairness could do precisely the opposite: expanding the points of discretionary control where opaque decisions in input data or application of an algorithm can have long range impacts on governmental outcomes.

jonny,
@jonny@neuromatch.social avatar

the paradoxes of big data solutionism keep me laughing. Google to its manual content reviewers: "Never use your personal discretion, just use your cultural discretion"

flourn0,

@jonny This is The Truth.

abstract_tesseract,

@jonny How many spheres are we talking about here? Like is this some kind of Dragon Ball thing or

jonny,
@jonny@neuromatch.social avatar

@abstract_tesseract I am not sure, the geometry gets confusing because the spheres are also embedded within "horizontals" and "verticals" so I think they are unit spheres centered on a coordinate grid?

jonny,
@jonny@neuromatch.social avatar

@abstract_tesseract we need to harvest the data of every perfectly spherical cow on a frictionless plane

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