Predictive Policing for Banksters

Gepostet vor 3 Monaten, 27 Tagen in #Design #Tech #AlgoCulture #Apps #Art #Crime #Economy

Share: Twitter Facebook Mail

Schönes Ding von Sam Lavigne, Predictive Policing für Wirtschaftskriminalität im Finanzsektor, 'ne Robocop-App für Bankster.

White Collar Crime Risk Zones uses machine learning to predict where financial crimes will happen across the U.S. The system was trained on incidents of financial malfeasance from 1964 to the present day, collected from the Financial Industry Regulatory Authority (FINRA), a non-governmental organization that regulates financial firms.

The system uses industry-standard predictive policing methodologies, including Risk Terrain Modeling and geospatial feature predictors, which enables the tool to predict financial crime at the city-block-level with an accuracy of 90.12%.

Mic: This app exposes the white-collar criminals all around you

"The truth is that all of those systems use biased data sets and reinforce precisely the biases that they emerge from," Sam Lavigne, a technologist and the New Inquiry's special projects editor who helped develop WCCRZ, said in a phone interview on Tuesday. "And that the police departments making use of those systems work behind a veil of objectivity."

So the WCCRZ team, which included Lavigne, the New Inquiry publisher Francis Tseng and data scientist Brian Clifton, built out a "Most Likely Suspect" feature, scraping the LinkedIn profiles of top executives in that area to come up with a facial average. The app slaps a new face on crime: a thousand algorithmically generated, grinning white fraudsters.

It may not be the face of crime trotted out on the evening news, but that's the point. The app reframes the common cultural code for criminality — typically black, poor and uneducated — around corporations and neighborhoods that more accurately reflect where crime happens and who's committing it.

Very Bad Bitcoin-Miners

Quartz war neulich in der größten Bitcoin-„Mine“ der Welt und hat von dort Fotos und Videos mitgebracht. Sind so ungefähr…

Trump XTC

In Osnabrück haben sie 5000 Trump-XTCs beschlagnahmt, natürlich in orange-farbener Monokultur. Zum Vergleich (Bild unten): Die Obama-Pillen gab's in grün,…

Algorithmic Image-Watermark Remover

Google hat ein neues Paper über die automatische Entfernung von Wasserzeichen in Pics, netterweise nennen sie das Paper „On the…

10 PRINT CHR$ (205.5 + RND (1)); on a Commodore Pet

10 PRINT CHR$ (205.5 + RND (1)); 20 GOTO 10 ist sowas wie ein Miniatur-Programm in Basic für Generative Graphics,…

Self-Driving Cars hacked with Love and Hate

Wissenschaftler der Uni Washington haben die Computer-Vision-Systeme von selbstfahrenden Autos gehackt – indem sie Love und Hate in colorierten Pixelfonts auf…

Digital Skin

Emilio Vavarella: The Digital Skin Series, 2016. „Archival inkjet prints on metallic paper. 18 elements. X:150; Y:115 cm, each.“ Von…

Salvador Dalís Moustache totally still a Moustache

Nachdem sie Savador Dalís Leiche wegen eines Vaterschaftsstreits ausbuddeln mussten, stellten man fest, dass der Schnurri vom Dalí noch 1a…

Cellular Automata Cube

Cubes.io: Conways Game of Life als 3D-Spielzeug mit Cubes und Spheres und Schnickschnack als Evolution-Nullpunkt, von wo aus die ganzen…

Neural Network-Faces synched to Music

„My first attempt to map a song made by @kamptweets onto GAN generated proto-faces.“ Bohemian Rhapsody next. The Three Nightingans.…

Frankenstein vs Ingmar Bergman: Persona and the Monster

Fascinating (and awesome and gory) Movie-Mashup from Filmscalpel: „In 1816, Mary Wollstonecraft Shelley began writing what was to become her…

Calibri FontGate: Font as evidence in political scandal

Die Tochter des pakistanischen Premierpräsidenten hat sich bei der Dokumentenfälschung von Papieren aus dem Jahr 2006 erwischen lassen, die ihren…