The Weekly Cypher is curated to keep you up-to-date on the latest in biometric and cybersecurity news. Here are a few headlines you may have missed this week.
What happens in Vegas may stay in Vegas, but what happens in Rio de Janeiro during Carnival will be monitored via facial recognition software. The Brazilian city’s press office published a release today noting that the city, in conjunction with Colonel Rogério Figueredo de Lacerda, secretary of state for the Military Police Department, will be adding the questionable technology to the annual festivities.
A San Francisco lawmaker is introducing legislation today that would make the city the first in the nation to ban the government use of facial recognition technology. The Stop Secret Surveillance Ordinance, set to be proposed by supervisor Aaron Peskin, would require departments in the city to seek approval from the Board of Supervisors before using or buying surveillance technology, a check that other cities have already implemented. The legislation would also create annual audits of surveillance technology to ensure the tools are properly used.
Could fingerprint scanners replace check-in lines at airports, baseball games and hospitals? | The Washington Post
When Apple introduced an electronic fingerprint scanner to its iPhone in 2013, it started doing away with annoying password log-ins required for many smartphone apps. Today, a group of prominent D.C.-area investors thinks the same process can be applied to real-world inconveniences, such as standing in line at the airport, waiting to get into a hockey game or ordering a drink, where driver’s licenses and credit cards are still the primary way consumers prove their identities.
Most IT pros share and reuse passwords | InfoSecurity Magazine
Nearly two-thirds (63%) of IT professionals are more concerned about data privacy and security than they were two years ago, but their poor online practices continue to drive cyber-risk, according to a new study published on the EU’s Data Protection Day.
IBM releases Diversity in Faces, a dataset of over 1 million annotations to help reduce facial recognition bias | VentureBeat
Facial recognition has a bias problem. A study in 2012 showed that facial algorithms from vendor Cognitec performed 5 to 10 percent worse on African Americans than on Caucasians, and researchers in 2011 found that facial recognition models developed in China, Japan, and South Korea had difficulty distinguishing between Caucasian faces and those of East Asians.