Spend enough time googling "tacos" or "pasta" and eventually you'll be served ads for Latin or Italian restaurants. Spend enough time driving to Latin or Italian restaurants and eventually, your car might soon serve ads and offer recommendations.
Police in West Yorkshire, England are rolling out mobile fingerprint scanners to instantly identify criminal suspects and people "experiencing a medical emergency". Two hundred and fifty mobile devices are being deployed in West Yorkshire, and the British government says the tech will come to 20 police departments across the country by the end of this year. The scanners remotely check a person's fingerprint against criminal and immigration databases, which experts say bypass safeguards against police overreach. The process takes less than one minute.
Predicting the future is near impossible -- but that doesn‘t stop us all from having a red hot go. Human beings have been predicting the future since the beginning of history and the results range from the hilarious to the downright uncanny.
One thing all future predictions have in common: they‘re rooted in our current understanding of how the world works. It‘s difficult to escape that mindset. We have no idea how technology will evolve, so our ideas are connected to the technology of today.
On Tuesday, the British government announced that it plans to release a new AI it claims can detect 94 per cent of ISIS propaganda videos with 99.995 per cent accuracy. The UK's Home Office says that platforms can use its AI to scan videos as they're being uploaded, detecting terrorist content and blocking it from ever appearing online.
A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin and least accurate for women with dark skin. Joy Buolamwini, an MIT Media Lab researcher and computer scientist, tested three commercial gender classifiers offered as part of face recognition services. As she found, the software misidentified the gender of dark-skinned females 35 per cent of the time. By contrast, the error rate rate for light-skinned males was less than one per cent.
Chinese police have begun using glasses equipped with facial recognition-enabled cameras to spot fugitives travelling through train stations. Though Chinese police have said the glasses will spot people using fake IDs or travelling to avoid a warrant, many are concerned about China using the tech to target political advocates and minorities. China has been accused of using face recognition tech to "fence in" the Muslim Uighur minority in northwestern Xinjiang.
The US Patent Office recently published a patent by Ford for an autonomous police vehicle that could be programmed with "machine learning tools (e.g., deep neural networks) to find good hiding spots to catch violators of traffic laws". First spotted by Motor 1, the patent - which represents more of a moonshot project than a pending invention - would nonetheless really round out the most dystopian visions of our future.
Google released a new AI tool today designed to let anyone train its machine learning systems on a photo dataset of their choosing. The software is called Cloud AutoML Vision. In an accompanying blog post, the chief scientist of Google's Cloud AI division explains how the software can help users without machine learning backgrounds harness artificial intelligence.
Two years ago, the object-recognition algorithm fuelling Google Images told a black software engineer, Jacky Alciné, his friends were gorillas. Given the long, racist history of white people claiming the people of the African diaspora are primates instead of human beings, Alciné was predictably upset. As was his employer: Google.
According to a new report by surveillance law researchers, the US Department of Homeland Security's $US1 billion "Biometric Exit Program," which requires travellers submit to face recognition scans, may violate US federal law. Starting in June, several airports began mandating face scans at boarding gates for some international flights. The DHS has argued the program prevents identity fraud, but the researchers say the program is on shaky legal ground and has numerous technical flaws.
A robust, timely census is vital to democracy. Censuses chart both political and demographic shifts, including changes in wealth and neighbourhood transitions. Most crucially, they influence how resources and political power are doled out: Cities use census data to set budgets. But taking a census is both expensive and slow. A team of Stanford AI researchers believe we can use computer vision to speed up the process, a radical approach to a centuries-old practice.
I generally don't care for the poetics of life. When I'm walking down the street and something poetic happens - sunlight piercing rainclouds, golden leaves dancing in an autumn wind - I just go "ehh." But human emotion is quantifiable, meaning it can be taught to computers. A collaboration between MIT's Lab for Social Machines and McKinsey's Consumer Tech and Media team want to use film to quantify and "teach" emotions to computers in order to create AI that can tell emotional stories.
An alliance of more than 50 civil liberties groups and more than 50 individual AI experts sent dual letters to the US Department of Homeland Security (DHS) today, calling for the end of a plan to screen immigrants with predictive "extreme vetting" software. In a separate petition also launched today, several groups specifically urged IBM not to help build the extreme vetting tool. This winter, representatives of IBM, Booz Allen Hamilton, LexisNexis and other companies attended an information session with DHS officials interested in their capacity for predictive software, The Intercept reports.
Researchers in the UK used machine learning algorithms to analyse 1.6 million tweets in London during the infamous 2011 riots, which resulted in widespread looting, property destruction and over 3,000 arrests. According to the researchers, analysing Twitter data to map out where violence occurred in London boroughs was faster and more accurate than relying on emergency calls -- or even on-the-ground information gathering.