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Elsewhere, nearly all proposals to study or regulate algorithms have failed to pass.

In 2018, Vermont became the first state tocreate its own ADS study group.

Why it’s so hard to regulate algorithms

Its not like we asked every single state agency to look at every single thing they use.

It has sat in committee without a hearing since then.

Legislators tried to pass a binding resolution again the next year,but it failed.

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They kept asking, What kind of systems are being used across Washington state?

The big obstacle is corporate influence in our governmental processes, said Hasegawa.

Californias bill, which is similar, is still pending in committee.

When we narrowed it to just government AI systems we thought it would make it easier, Le said.

The argument [from industry] switched to This is going to cost California taxpayers millions more.

That cost angle, that innovation angle, that anti-business angle is something that legislators are concerned about.

The letter said the suggestion, which is not a requirement, was too burdensome.

The chamber also argued that the bills definition of automated decision systems was too broad.

The Internet Association did not respond to an interview request.

Its a funny talking point, Le said.

We actually had to put in language to say this doesnt include a calculator or spreadsheet.

The tools are used by many employers to screen job candidates without the use of a human interviewer.

This article wasoriginally published on The Markupand was republished under theCreative Commons Attribution-NonCommercial-NoDerivativeslicense.

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