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Nobody needs heavy-handed censorship or directly intervene or override anything. A bureaucracy not run entirely by a computer is bound to be a failure because a
by revelation 9y ago
Nobody needs heavy-handed censorship or directly intervene or override anything. A bureaucracy not run entirely by a computer is bound to be a failure because as long as there is some dude at the top with clearly expressed opinions those will find their way into decisions immediately.
- sidlls 9y agoWhat makes you think a computer run system won't be subject to biases (in particular of the implementors)?
- azernik 9y agoI agree partially - I think it's easier to audit the biases an implementor has encoded into an automated system, especially since the pressures a high-level official exerts are often verbal and unrecorded.
- Ar-Curunir 9y agoWe can barely understand existing machine learning systems, what makes you think that we will understand those that run a global bureaucracy?
- azernik 9y agoMachine learning systems by their nature design their logic without human intervention; a bureaucratic system encodes human rules in a way that a human programmer decides. cf a US college's system for signing up for classes, which is usually a one-to-one translation of preexisting bureaucratic procedure.
- revelation 9y agoBureaucracy isn't the promise of a system free of biases. The promise is that of a pure function: \forall a,b: a = b -> f(a) = f(b) What's the point? The point is that there is a clear, rational audit trail for "why was this decision taken" with a computer system. You can challenge that. You can't challenge an overpaid gov admin whose primary motivating factor in making decisions is pleasing his superiors, no matter how removed.
- sidlls 9y agoThere isn't any meaningful difference between the kinds of challenges you present. It's given a facade of mathematical rigor, but it's still a facade.
- brianjoseff 9y agoHighly recommend you check out the book "Weapons of Math Destruction" by Cathy O'Neil Very accessible set of case studies where algorithmic management of traditionally human-run bureaucratic processes is biased and destructive.