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

Weeks before the publication of Virginia Eubanks's new book Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, knowledgeable friends were already urging me to read it, which was a no-brainer, having followed Eubanks's work for years.

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."

Read the rest

In ADGN: An Algorithm for Record Linkage Using Address, Date of Birth, Gender, and Name, newly published in Statistics and Public Policy, a pair of researchers from Harvard and Tufts build a statistical model to analyze the impact of the voter ID laws passed in Republican-controlled states as part of a wider voter suppression project that was explicitly aimed at suppressing the votes of racialised people, historically likely to vote Democrat. Read the rest

More than a dozen major US airports are now covered in facial-recognition cameras, installed by the DHS to scan people departing on international flights without the legally mandated federal review process. Read the rest

Designers use metrics and a/b splitting experiments to maximize engagement with their products, seeking out the phrases that trigger emotional responses in users -- like a smart scale that congratulates you on losing weight -- but these systems are context-blind, so they are unable to distinguish between people who might be traumatized by their messages (say, a woman who's just miscarried late in her pregnancy, being congratulated on her "weight loss"). Read the rest

Matt Taibbi is one of the best political writers working in the USA today, someone who can use the small, novelistic details of individuals' lives illuminate the vast, systemic problems that poison our lives and shame our honor; his 2014 book The Divide conducts a wide-ranging inquiry into the impunity of corporate criminals and the kafkaesque injustices visited on the poor people they victimize; in I Can't Breathe: A Killing on Bay Street, Taibbi narrows his focus to the police murder of Eric Garner, a Staten Island fixture and father, and the system that put murderers in uniform in his path.

"The Trouble with Bias," Kate Crawford's (previously) keynote at the 2017 Neural Information Processing Systems is a brilliant tour through different ways of thinking about what bias is, and when we should worry about it, specifically in the context of machine learning systems and algorithmic decision making -- the best part is at the end, where she describes what we should do about this stuff, and where to get started. (via 4 Short Links) Read the rest

In a pair of open letters to Letter to The Honorable Elaine C. Duke, Acting Secretary of Homeland, a coalition of more than 100 tech liberties groups and leading technology experts urged the DHS to abandon its plan to develop a black-box algorithmic system for predicting whether foreigners coming to the USA to visit or live are likely to be positive contributors or risks to the nation. Read the rest

There are 50 hospitals on 5 continents that use Watson for Oncology, an IBM product that charges doctors to ingest their cancer patients' records and then make treatment recommendations and suggest journal articles for further reading. Read the rest

A year ago, the AI Now Institute released its inaugural report on the near-future social and economic consequences of AI, drawing on input from a diverse expert panel representing a spectrum of disciplines; now they've released a followup, with ten clear recommendations for AI implementations in the public and private sector. Read the rest

Rodney Brooks -- eminent computer scientist and roboticist who has served as head of MIT's Computer Science and Artificial Intelligence Laboratory and CTO of Irobot -- has written a scorching, provocative list of the seven most common errors made (or cards palmed) by pundits and other fortune-tellers when they predict the future of AI. Read the rest

When the 9/11 commission reported back on the intelligence failures that led to the attacks 16 years ago, they identified a key problem: America's spy agencies had collected so much useless, indiscriminate information (haystacks) that they couldn't find the useful, salient facts (needles) buried there. Read the rest

The Perspective API (previously) is a tool from Google spinoff Jigsaw (previously) that automatically rates comments for their "toxicity" -- a fraught business that catches a lot of dolphins in its tuna net. Read the rest