Bookmarker is a personal project by @dellsystem to help with retaining reading material. Source on GitHub.

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8 years, 9 months ago

meekly submitting to technolibertarianism archive/dissertation

It is not helpful to have politicians across the political spectrum meekly submitting to this technolibertarianism—assuming that bureaucrats, and by extension themselves, are inherently incapable of influencing technical innovation. We must curb the tendency to reify the tech giants—to assume that …

—p.196 The Black Box Society: The Secret Algorithms That Control Money and Information Toward an Intelligible Society (189) by Frank Pasquale
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8 years, 9 months ago

credit and austerity

The importance of credit reputation grows as public assistance shrinks. Austerity promotes loans as a lifeline for an insecure precariat. Students who once earned state scholarships are now earning profits for government or private lenders. In our “market state” and “ownership society,” _private cr…

—p.191 Toward an Intelligible Society (189) by Frank Pasquale
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8 years, 9 months ago

playing catch-up

[...] Playing catch-up with the banks and the scorers and the Internet giants just reinforces their power over us. We should be challenging their rules, not trying to keep ahead of them.

—p.187 Watching (and Improving) the Watchers (140) by Frank Pasquale
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8 years, 9 months ago

the internationalization of corporations archive/dissertation

However ambitiously American finance regulators may set standards, their efforts are compromised by the internationalization of major firms, which plead that any stringent national standard for recording information may make it harder to do business overseas. They want to wait for international c…

—p.171 Watching (and Improving) the Watchers (140) by Frank Pasquale
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8 years, 9 months ago

hiding discrimination within algorithms

[...] Legislators are beginning to address that by proposing bills that would make long-term unemployment an illicit basis for hiring decisions. But number crunchers may simply feed “length of time since last job” into their hiring models, and if that factor is weighted heavily, it could be utterly…

—p.150 Watching (and Improving) the Watchers (140) by Frank Pasquale