Litigation is a huge issue in the #US. Penalties often are astronomical seen from an international perspective. Also, malfeasance by police officers including #RacialProfiling and l, IMO, #PredictivePolicing seem to be much more frequent, maybe just more reported.
However, my bottom line is that
a) #SystemicRacism will never be overcome w/o abolishing #LEOBR|s. Police officers are nothing but citizens in uniform. They're no animals more...
2/3 Civil society are urging the EU to ensure that the #AIAct includes:
🚫 a ban on harmful uses of AI like #PredictivePolicing & public #FacialRecognition
✅ public transparency when police, migration & security agencies use high-risk AI
🙅♀️ NO blanket exemptions for national security
The article shows that apart from a performativity effect, there is not much to the predictions of #predictivepolicing software. In fact, there are negative effects when people - especially from vulnerable groups - are mistakenly affected by these predictions.
#Algorithms#PredictivePolicing#PredPol#CrimePredicition: "Crime predictions generated for the police department in Plainfield, New Jersey, rarely lined up with reported crimes, an analysis by The Markup has found, adding new context to the debate over the efficacy of crime prediction software.
Geolitica, known as PredPol until a 2021 rebrand, produces software that ingests data from crime incident reports and produces daily predictions on where and when crimes are most likely to occur.
We examined 23,631 predictions generated by Geolitica between Feb. 25 to Dec. 18, 2018 for the Plainfield Police Department (PD). Each prediction we analyzed from the company’s algorithm indicated that one type of crime was likely to occur in a location not patrolled by Plainfield PD. In the end, the success rate was less than half a percentage point. Fewer than 100 of the predictions lined up with a crime in the predicted category, that was also later reported to police.
Diving deeper, we looked at predictions specifically for robberies or aggravated assaults that were likely to occur in Plainfield and found a similarly low success rate: 0.6 percent. The pattern was even worse when we looked at burglary predictions, which had a success rate of 0.1 percent."
Here's the #DictatorsDilemma: they want to block their country's frustrated elites from mobilizing against them, so they censor public communications; but they also want to know what their people truly believe, so they can head off simmering resentments before they boil over into regime-toppling revolutions.
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If you'd like an essay-formatted version of this to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
That's when the AI spits out something wrong, and then another AI sucks up that wrong conclusion and uses it to generate more conclusions.
To see this in action, consider the deeply flawed #PredictivePolicing systems that cities around the world rely on. These systems suck up crime data from the cops, then predict where crime is going to be.
A quick overview of current #AI regulations proposals in the legislative process
(1/n)
Today, I read about someone still using #Google that in his search, he had the first 3 pages of hits with "junk" results which he attributed to #AI generated pages.
#Dems introduced a Bill Requiring Political Ads to Disclose AI Use at the beginning of May, 2023. Even though sensible, I don't see it getting passed due to the distribution of power in Congress,unless there...
...“Post” remote #BiometricIdentification systems, with the only exception of #lawrow enforcement for the prosecution of serious crimes and only after judicial authorization;
#BiometricCategorisation systems using sensitive characteristics (e.g. gender, race, ethnicity, citizenship status, religion, political orientation);
#PredictivePolicing systems (based on profiling, location or past criminal behaviour);
UK #Police have algorithms analysing huge amounts of information, using discriminatory factors like ‘cramped houses’ and ‘jobs with high turnover’ to predict someone's likelihood to commit a crime.
Dass die EU-Kommission die Totalüberwachung und digitale
Kontrolle im Internet genauso wie im Alltag, an ihren Außengrenzen zur Bekämpfung von fliehenden Menschen und im Inneren u.a. für den Datenkapitalismus weiter ausbaut, ist nichts Neues. Nicht nur besteht sie aus stramm neoliberalen, autoritären Politiker*innen, die schon zuvor immer wieder mit repressiven Vorhaben angekommen sind, es geht allgemein mit dem Überwachungs- und Krisenkapitalismus auch eine autoritäre Transformation einher.
Als Antiautoritäre stellen wir uns diesen Entwicklungen und Allen, die sie voranbringen wollen, entschlossen entgegen!
Bayerische #Polizei testet Datamining mit echten Personendaten - Palantir-Software
"Im bayerischen Landeskriminalamt läuft seit Monaten ein Testbetrieb der umstrittenen Analysesoftware von Palantir mit echten Personendaten․ Der Landesbeauftragte für #Datenschutz hat erst über Recherchen des Bayerischen Rundfunks davon erfahren – und will den Vorgang prüfen․"