"Predictive policing" is the idea that you can feed crime stats to a machine-learning system and it will produce a model that can predict crime. It is garbage. Read the rest
Deon is a project to create automated "ethics checklists" for data science projects; by default, running the code creates a comprehensive checklist covering data collection and storage, modeling and deployment: the checklist items aren't specific actions, they're "meant to provoke discussion among good-faith actors who take their ethical responsibilities seriously. Because of this, most of the items are framed as prompts to discuss or consider. Teams will want to document these discussions and decisions for posterity." Read the rest
Sarah Gailey's micro-short-story STET is a beautiful piece of innovative storytelling that perfectly blends the three ingredients for a perfect piece of science fiction: sharply observed technological speculation that reflects on our present moment; a narrative arc for characters we sympathize with; and a sting in the tail that will stay with you long after the story's been read. Read the rest
Some parts of machine learning are incredibly esoteric and hard to grasp, surprising even seasoned computer science pros; other parts of it are just the same problems that programmers have contended with since the earliest days of computation. The problem Amazon had with its machine-learning-based system for screening job applicants was the latter. Read the rest
Cash bail has turned American jails into debtors' prisons, where the wealthy can go about their business while awaiting trial, and the poor can languish for months or even years in jail because they can't make bail (in practice, they generally plead guilty, regardless of their innocence). Read the rest
After learning that Amazon was pushing the use of Rekognition, its facial recognition tool, for use in policing (a global phenomenon that is gaining momentum despite the material unsuitability of these tools in policing contexts), the ACLU of Northern California had a brainwave: they asked Rekognition to evaluate the faces of the 115th Congress of the United States. Read the rest
Kudos to the Gates Foundation, seriously: after spending $775m on the Intensive Partnerships for Effective Teaching, a Big Data initiative to improve education for poor and disadvantaged students, they hired outside auditors to evaluate the program's effectiveness, and published that report, even though it shows that the approach did no good on balance and arguably caused real harms to teachers and students. Read the rest
One of the more fascinating and horrible details in Reuters' thoroughly fascinating and horrible long-form report on Trump's cruel border policies is this nugget: ICE hacked the risk-assessment tool it used to decide whom to imprison so that it recommended that everyone should be detained. Read the rest
In 2014, the Alice decision made it much harder to patent software in the USA; in 2016, Congress passed the Defend Trade Secrets Act, creating the first federal trade secrets statute: the result of these two developments is that software companies aggressively switched from patents to trade secrets as a means of controlling competition and limiting inspection and criticism of their products. Read the rest
The South Wales Police deployed a facial recognition technology at the June 2017 Champions League soccer final in Cardiff, and 92% of the people identified by the system as matches for suspiciousness were false positives. Read the rest
The Electronic Frontier Foundation's Jamie Williams and Lena Gunn have drawn up an annotated five-point list of questions to ask yourself before using a machine-learning algorithm to make predictions and guide outcomes. Read the rest
In 2009, JP Morgan Chase's "special ops" guy was an ex-Secret Service agent called Peter Cavicchia III, and he retained Palantir to spy on everyone in the company to find "insider threats"; even getting the bank to invest in Palantir. Read the rest
The police in Durham, England bought a license to the "Mosiac" dataset from the credit bureau Experian, which includes data on 50,000,000 Britons, in order to train a machine learning system called HART ("Harm Assessment Risk Tool") that tries to predict whether someone will reoffend. Read the rest
danah boyd (previously) writes enthusiastically about Virginia Eubanks's forthcoming book, Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, which she calls "the best ethnography I’ve read in years," "on par with Barbara Ehrenreich’s 'Nickel and Dimed' or Matthew Desmond’s 'Evicted.'" Read the rest
Ben Lorica, O'Reilly's chief data scientist, has posted slides and notes from his talk at last December's Strata Data Conference in Singapore, "We need to build machine learning tools to augment machine learning engineers." Read the rest
In 2015, a black software developer named Jacky Alciné revealed that the image classifier used by Google Photos was labeling black people as "gorillas."
