ultrafilter posted:

The actual abstract isn't as bad as a lot of what people think the paper might be about.

quote:

Social trust is linked to a host of positive societal outcomes, including improved economic performance, lower crime rates and more inclusive institutions. Yet, the origins of trust remain elusive, partly because social trust is difficult to document in time. Building on recent advances in social cognition, we design an algorithm to automatically generate trustworthiness evaluations for the facial action units (smile, eye brows, etc.) of European portraits in large historical databases. Our results show that trustworthiness in portraits increased over the period 1500–2000 paralleling the decline of interpersonal violence and the rise of democratic values observed in Western Europe. Further analyses suggest that this rise of trustworthiness displays is associated with increased living standards.

If I were an art historian I'd probably have a lot to say about this but as is I'm just withholding judgment until the actual experts weigh in.

qirex posted:

also classical portraits seems like the worst possible training set since they were usually done specifically to make the patron look awesome and their enemies look shady

ultrafilter posted:

If I were an art historian I'd probably have a lot to say about this but as is I'm just withholding judgment until the actual experts weigh in.

Midjack posted:

does “have lower levels of trust” mean “they should be trusted less” or “they should trust others less” there? i read the vulnerable to exploitation part of it to imply the latter.

Carthag Tuek posted:

the phrasing "trustworthiness" implies the former

Midjack posted:

read the article, bottom of page 2. the argument on this statement is a little convoluted, the author is saying that as gdp goes up general societal trust goes up and he’s using trustworthiness ratings of portraits as a proxy for general societal trust.

ultrafilter posted:

If I were an art historian I'd probably have a lot to say about this but as is I'm just withholding judgment until the actual experts weigh in.

Midjack posted:

read the article, bottom of page 2. the argument on this statement is a little convoluted, the author is saying that as gdp goes up general societal trust goes up and he’s using trustworthiness ratings of portraits as a proxy for general societal trust.

edit: yeah boy howdy this is kind of junk science and i thought nature was better than this.

quote:

ECONOMICS PRIZE [UK, POLAND, FRANCE, BRAZIL, CHILE, COLOMBIA, AUSTRALIA, ITALY, NORWAY, ITALY]
Christopher Watkins, Juan David Leongómez, Jeanne Bovet, Agnieszka Żelaźniewicz, Max Korbmacher, Marco Antônio Corrêa Varella, Ana Maria Fernandez, Danielle Wagstaff, and Samuela Bolgan, for trying to quantify the relationship between different countries’ national income inequality and the average amount of mouth-to-mouth kissing.
REFERENCE: “National Income Inequality Predicts Cultural Variation in Mouth to Mouth Kissing,” Christopher D. Watkins, Juan David Leongómez, Jeanne Bovet, Agnieszka Żelaźniewicz, Max Korbmacher, Marco Antônio Corrêa Varella, Ana Maria Fernandez, Danielle Wagstaff, and Samuela Bolgan, Scientific Reports, vol. 9, article no. 6698, 2019.

https://www.improbable.com/ig-about/winners/

fritz posted:

https://twitter.com/JedMSP/status/1309525866746056709

ultrafilter posted:

https://twitter.com/astroskylar/status/1309618682176450560

ultrafilter posted:

https://twitter.com/astroskylar/status/1309618682176450560

Bloody posted:

run the trustworthiness model in reverse. what is the most trustworthy possible face. I want to see it

quote:

A central Florida sheriff built an algorithm meant to predict which people in his jurisdiction were likely to commit a crime in the future.

But according to a six-month investigation published this week by the Tampa Bay Times, the high-tech tool deployed by the Pasco Sheriff's Office didn't lead to a reduction in violent crime — instead, 21 families singled out by the algorithm said they were routinely harassed by deputies, even when there was no evidence of a specific crime.

In September 2019, deputies showed up at 15-year-old Rio Wojtecki's door because the algorithm had determined Rio was one of the county's "Top 5" at risk of committing more crimes, the Tampa Bay Times reported.

Before that, Rio had been arrested only one time, a year prior, and was charged with sneaking into a carport and stealing motorized bicycles. Rio had already been assigned a juvenile probation officer — but because of the algorithm, police showed up at Rio's house to question him at least 21 times, beginning with that September visit, Rio's mother told the Tampa Bay Times.

Shortly after one visit from deputies in January, Rio began experiencing difficulty breathing and collapsed in his home, the report said. His mother told the newspaper she called an ambulance and that an emergency-room doctor later found that Rio was experiencing the effects of extreme anxiety. But the deputies' visits to his family's home didn't stop.

According to the Tampa Bay Times report — which drew on court records, police body-camera footage, the accounts of dozens of people targeted by the sheriff's algorithm, and interviews with former employees of the Pasco Sheriff's Office — the predictive-policing tool relied on questionable data sources and arbitrary decisions.

People's criminal records — including charges that were later dropped — were fed into the algorithm to determine potential future offenders. Former employees of the sheriff's office said deputies were instructed to visit the homes of people the algorithm selected, charge them with zoning violations, and make arrests for any reason they could. Those violations and arrests were then fed back into the algorithm, according to the Tampa Bay Times.

The report highlights the pitfalls of algorithm-driven policing, sometimes called predictive policing, which relies on crime data to predict future offenders. Civil-rights groups have called the practice unconstitutional, and law-enforcement researchers question its efficacy. In recent years, police departments in major cities including Los Angeles and Richmond, Virginia, discontinued their predictive-policing programs because of concerns over their fairness and effectiveness.

In a statement to Business Insider, a spokesperson for the Pasco Sheriff's Office defended the practice, saying other police departments use similar methods, and accused the Tampa Bay Times of depicting "basic law enforcement functions" as unnecessary harassment. The sheriff's office also published a Facebook post criticizing the newspaper's report.

"Unfortunately, the media outlet responsible for this piece didn't feel compelled to shed light on facts, and instead chose to weave a salacious, fictitious tale," the spokesperson said.

ultrafilter posted:

echinopsis posted:

the kind of machine learning where you train it on a picture with a style and apply that style to another image

echinopsis posted:

the kind of machine learning where you train it on a picture with a style and apply that style to another image

can someone tell me what the name of the technique is, or recommend a link or something

like https://deepart.io/

I wanna gently caress around with it on my own pc. can I do that?

can you train it on many images to try to derive a style from many images?



my main purpose is to try to see if it's possible to subtly make my renders look, illustrated.

might end up looking like total dog poo poo
but ya never know