Even more daunting are questions about performance—how effective are they at preventing mass shootings? Chipman says gun-detection camera systems might only be useful in a mass-shooting scenario that plays out over an extended period of time. The Dayton shooting, as he notes, was over in 30 seconds. So in a nearly identical scenario, he believes there would be little to no value to law enforcement. And, based on his experience as an ATF agent, Chipman says the primary goal of law enforcement in responding to a critical incident like a mass shooting would be to identify as quickly as possible those people carrying a gun. The next step is to determine who the good guys are. … [Read more...] about How gun-detection technology promises to help prevent mass shootings
Oregon state police troopers
Gevers blames weak FR database security on a competitive marketplace, where a proof of concept is built and the product quickly marketed and sold. And though a government or company may learn from vulnerabilities, as time passes and people get promoted or leave their job, Gevers says the tendency is for organizations to forget what they learned about systems security. Which is why he would like to see cloud providers like AWS, Google, and Azure provide programmers with templates, such as are available from the Open Web Application Security Project, so that they can build safely and securely on those platforms. … [Read more...] about Due to weak oversight, we don’t really know how tech companies are using facial recognition data
“With AnyVision, in particular, I do think the parameters of the specific things they are building are particular causes of concern,” says Narayan. He points to AnyVision’s affect analysis technology, which can read emotions to determine if someone is a threat, as deeply concerning. Narayan sees affect analysis as building on the long-discredited pseudoscience of whether one can read the parameters of an individual’s face or other characteristics, like skull size, to determine a person’s intelligence or dangerousness. Studies have shown that affect analysis is also biased in face recognition systems: It is less accurate with people of color and other groups. … [Read more...] about Microsoft-backed facial recognition firm rethinks its role in Hong Kong
In Rajasthan's Kota, Nazeeran Bano, a surveyor was collecting data for the National Economics Census 2019-2020 in Brijdham area when she was attacked. The report states that Bano's phone was snatched and the data that she had collected as a part of the economic census on an app was deleted. … [Read more...] about Mistaken as CAA-NRC surveyors, two women attacked in Rajasthan, West Bengal
UC-Berkeley is also resisting machine-driven admissions. Janet Gilmore, UC-Berkeley’s senior director of communications & public affairs, says the university has no automated processes, and that the applicant’s complete file is evaluated by trained readers. Its admissions process website states that “race, ethnicity, gender, and religion are excluded from the criteria,” and that the school uses a holistic review process that looks at both academic (course difficulty, standardized test scores) and nonacademic factors. In the latter case, it could be personal qualities such as character and intellectual independence, or activities like volunteer service and leadership in community organizations. … [Read more...] about Schools are using software to help pick who gets in. What could go wrong?