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Staff Topics
Rights > BodyAutonomy > PostGender > Staff > Marcelo Rinesi
Marcelo Rinesi
What makes an algorithm feminist, and why we need them to be by Marcelo Rinesi

About one in nine engineers in the US is a woman, which makes some men infer from this that they are “naturally” bad at it. Many data-driven algorithms would conclude the same thing; that’s still the wrong conclusion, but, dangerously, it seems blessed by the impartiality of algorithms. Here’s how bias creeps in.

Rights > BodyAutonomy > Staff > Marcelo Rinesi
Marcelo Rinesi
Short story: Logs from a haunted heart by Marcelo Rinesi

She’s scared all the time. But is her fear the reason why her heart suddenly speeds up a dozen times a day, shifting in a second from the dull ticking of dread into the accelerating staccato of runaway panic? The diagnostics in her peacemaker’s app say that everything is normal, but perhaps they can be faked by somebody with maintenance access to the device. She doesn’t have it, she’s only the patient.

Technopolitics > Sociology > Staff > Marcelo Rinesi
Marcelo Rinesi
There are only two emotions in Facebook, and we only use one at a time by Marcelo Rinesi

We have the possibility of infinite emotional nuance, but Facebook doesn’t seem to be the place for it. The data and psychology of how we react emotionally online are fascinating, but the social implications, although not specific to social networks, are rather worrisome.

Rights > Political Empowerment & Participation > Staff > Marcelo Rinesi
Marcelo Rinesi
What makes an algorithm feminist, and why we need them to be by Marcelo Rinesi

About one in nine engineers in the US is a woman, which makes some men infer from this that they are “naturally” bad at it. Many data-driven algorithms would conclude the same thing; that’s still the wrong conclusion, but, dangerously, it seems blessed by the impartiality of algorithms. Here’s how bias creeps in.

Technopolitics > Sociology > Rights > CognitiveLiberty > PrivacySurveillance > Staff > Marcelo Rinesi
Marcelo Rinesi
Any sufficiently advanced totalitarianism is indistinguishable from Facebook by Marcelo Rinesi

Gamification doesn’t need to be enjoyable to be effective.

Technopolitics > Rights > Political Empowerment & Participation > Staff > Marcelo Rinesi
Marcelo Rinesi
Russia 1, Data Science 0 by Marcelo Rinesi

Both sides in the 2016 election had access to the best statistical models and databases money could buy. If Russian influence (which as far as we know involved little more than the well-timed dumping of not exactly military grade hacked information, plus some Twitter bots and Facebook ads) was at any level decisive, then it’s a slap on the face for data-driven campaigning.

GlobalDemocracySecurity > CatRisks > Cyber > Staff > Marcelo Rinesi
Marcelo Rinesi
Tesla (or Google) and the risk of massively distributed physical terrorist attacks by Marcelo Rinesi

You know, an autonomous car is only a software vulnerability away from being a lethal autonomous weapon, and a successful autonomous car company is only a hack away from being the world’s largest (if single-use) urban combat force. Such an event would easily be the worst terrorist attack in history.

GlobalDemocracySecurity > CatRisks > Military > Staff > Marcelo Rinesi
Marcelo Rinesi
Big Data, Endless Wars, and Why Gamification (Often) Fails by Marcelo Rinesi

Militaries and software companies are currently stuck in something of a rut: billions of dollars are spent on the latest technology, including sophisticated and supposedly game-changing data gathering and analysis, and yet for most victory seems a best to be a matter of luck, and at worst perpetually elusive. As different as those “industries” are, this common failure has a common root; perhaps unsurprisingly so, given the long and complex history of cultural, financial, and technological relationships between them.

Rights > CognitiveLiberty > PrivacySurveillance > GlobalDemocracySecurity > CatRisks > Cyber > Staff > Marcelo Rinesi
Marcelo Rinesi
Don’t worry about opaque algorithms; you already don’t know what anything is doing, or why by Marcelo Rinesi

Machine learning algorithms are opaque, difficult to audit, unconstrained by ethics , and there’s always the possibility they’ll do the unthinkable when facing the unexpected. But that’s true of most our society’s code base, and, in a way, they are the most secure part of it, because we haven’t talked ourselves yet into a false sense of security about them.

Rights > Economic > Technological Unemployment > Staff > Marcelo Rinesi
Marcelo Rinesi
The insidious not-so-badness of technological underemployment, and why more education and better technology won’t help by Marcelo Rinesi

Mass technological unemployment is seen by some as a looming concern, but there are signs we’re already living in an era of mass technological underemployment. It’s not just an intermediate phase: its politics are toxic, it increases inequality, and it’s very difficult to get out of.