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The company was careless with the information of some of its poorest users.
An experiment in privacy–and the discussion that ensued–offer unexpected lessons in who gets watched, and how.
Unwritten rules underlie all of elite-university life—and students who don’t come from a wealthy background have a hard time navigating them.
Targeted advertising has turned the platform into the best and worst place to buy stuff online.
Can library classification systems find new ways to deal with charges of bias? Can linked data contribute a more inclusive representation of diverse voices and communities? This panel will discuss the inherent biases present in cataloguing and classification, and consider the potential for linked data to provide a space to highlight and explore the challenging political issues that can arise in our work. These include issues related to jurisdiction, territory, and community with examples drawn from legal classification and the classification of cartographic resources.
Study from scholars at Johns Hopkins University found that insider education research shows 70 percent more benefits to students than independent research.
Americans at the lower end of the economic ladder suffer from an ever-growing privacy divide, impacting more than just their personal dignity and autonomy.
"I felt like my identity or whatever didn't matter to them."
On subtle privilege associated with knowing how (human) systems work and optimizing for the social/organizational status quo.
Writings about libraries, technology, and the Web by Matthew Reidsma.
Bias, not differences in behavior, seems to explain why women aren’t advancing.
Since the revelation of Governor Ralph Northam’s offensive yearbook photos a few weeks ago, many have taken time to dig into their own University’s historical yearbooks to see if they also containe…
Tech giants under fire? Hold my beer, says Big Blue as it spins up race slur recruitment websites
Can an obscure 19th-century literary form help solve a 21st-century problem?
Last week brought an extraordinary demonstration of the dangers of operating a surveillance state — especially a shabby one, as China's apparently is. An unsecured database exposed millions of records of Chinese Muslims being tracked via facial recognition — an ugly trifecta of prejudice, bureaucracy, and incompetence.
Opinion: Humans train the machine-learning and AI systems at Facebook, Google, and Twitter to filter out bias. The problem: they don't know what they're looking for.
A whole book! Open access!
Op-ed: a computer scientist weighs in on the downsides of AI.
Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic risk assessment to estimate the likelihood that a person will commit