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Gabriel

@gabriel@mstdn.starnix.network

I'm fascinated and inspired by the free and open web and have really enjoyed my time on the Fediverse. I'm passionate about #decentralization and censorship resistance, and like to put what I learn to practice.

Over the last few years, my gears have shifted to an intense (natural) #WeightLoss mission. I'm down almost 290lbs down from 570. Being so large was very difficult and I've learned a lot getting to this point.

Trying to become a decent programmer.

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Obligatory addendum: "single payer healthcare" doesn't fix this at all. There are innumerable ways medical information can be weaponized against people by institutions. Not only that, but advancements in how people can be "modified" to better suit deteriorating working conditions are only going to add the things that will be forced onto people.

Medical ethics and privacy generally (but especially medical privacy) have to be solid red lines if you want any hope at preventing all out biodystopia.

@feld I'm assuming they didn't have direct access but rather detected correlations (something AI is notably good for).
From an article:

The lawsuit filed late Monday in federal court in Oakland, Calif., claims the company used internal AI systems, keystroke and activity-monitoring data, AI token-usage dashboards and algorithmically assisted performance rankings, among other methods, to determine who would be laid off.

Meta, according to the lawsuit, did not account for protected leave when taking employees' scores into account and "did not pause the system for the individualized, leave- and accommodation-neutral review that the law requires."

As a result, people on protected medical or family leave were disproportionately selected for layoffs, the lawsuit says. Each of the 26 anonymous employees in the lawsuit took protected leave, or requested or received a reasonable accommodation for disability.

But my original point is people have no idea how much worse this can get.