With millions of cameras and billions of lines of code, China is building a high-tech authoritarian future. Beijing is embracing technologies like facial recognition and artificial intelligence to identify and track 1.4 billion people. It wants to assemble a vast and unprecedented national surveillance system, with crucial help from its thriving technology industry.
Beijing is putting billions of dollars behind facial recognition and other technologies to track and control its citizens.
Check out the internal Google film, “The Selfish Ledger”. This probably wasn’t meant to slip onto a public web server, and so I have embedded a backup copy below. Ping me if it disappears. I will locate a permanent URL.
This 8½ minute video is a lot deeper—and possibly more insipid—than it appears. Nick Foster may be the Anti-Christ, or perhaps the most brilliant sociologist of modern times. It depends on your vantage point, and your belief in the potential of user controls and cat-in-bag containment.
He talks of a species propelling itself toward “desirable goals” by cataloging, data mining, and analyzing the past behavior of peers and ancestors—and then using that data to improve the experience of each user’s future and perhaps even their future generations. But, is he referring to shared goals across cultures, sexes and incomes? Who controls the algorithms and the goal filters?! Is Google the judge, arbiter and God?
Consider these quotes from the video. Do they disturb you? The last one sends a chill down my spine. But, I may be overreacting to what is simply an unexplored frontier. The next generation in AI. I cannot readily determine if it ushers in an era of good or bad:
Behavioral sequencing « a phrase used throughout the video
Viewing human behavior through a Lemarkian lens
An individual is just a carrier for the gene. The gene seeks to improve itself and not its host
And [at 7:25]: “The mass multigenerational examination of actions and results could introduce a model of behavioral sequencing.”
There’s that odd term again: behavioral sequencing. It suggests that we are mice and that Google can help us to act in unison toward society’s ideal goals.
Today, Fortune Magazine described it this way: “Total and absolute data collection could be used to shape the decisions you make … The ledger would essentially collect everything there is to know about you, your friends, your family, and everything else. It would then try to move you in one direction or another for your or society’s apparent benefit.”
The statements could apply just as easily to the NSA as it does to Google. At least we are entering into a bargain with Google. We hand them data and they had us numerous benefits (the same benefits that many users often overlook). Yet, clearly, this is heavy duty stuff—especially for the company that knows everything about everyone. Watch it a second time. Think carefully about the power that Google wields.
Don’t get me wrong. I may be in the minority, but I generally trust Google. I recognize that I am raw material and not a client. I accept the tradeoff that I make when I use Gmail, web search, navigate to a destination or share documents. I benefit from this bargain as Google matches my behavior with improved filtering of marketing directed at me.
But, in the back of my mind, I hope for the day that Google implements Blind Signaling and Response, so that my data can only be used in ways that were disclosed to me—and that strengthen and defend that bargain, without subjecting my behavior, relationships and predilections to hacking, misuse, or accidental disclosure.
WASHINGTON — The U.S. military got is first big taste of artificial intelligence with Project Maven. An Air Force initiative, it began more than a year ago as an experiment using machine learning algorithms developed by Google to analyze full-motion video surveillance.
The project has received high praise within military circles for giving operators in the field instant access to the type of intelligence that typically would have taken a long time for geospatial data analysts to produce.
Project Maven has whetted the military’s appetite for artificial intelligence tools. And this is creating pressure on the National Geospatial-Intelligence Agency to jump on the AI bandwagon and start delivering Maven-like products and services.
The battlefields of the future look set to be the province of robots duking it out on the field as their operators sit pretty, miles away. Russia is moving in leaps and bounds towards fielding its own unmanned forces.
Modern robots are nothing like the Terminator: Fielding human-shaped automatons for combat is much more trouble than it’s worth, so most ground robots are more or less tank- or car-shaped. They aren’t fully controlled by an artificial intelligence, either – not just yet, at least.
With its enormous war budgets and military industrial sector, it’s no surprise the US has been at the forefront of unmanned combat vehicle development. Its Predator drones have been raining death on Pakistan, Afghanistan and Yemen for over 15 years now, and it has been employing small, ground-based firing platforms like SWORDS for years, not to mention the multitude of bomb disposal and surveillance robots.
STOCKHOLM (GomSpace PR) — As part of a mission to demonstrate interlink communication on nanosatellite tandem formation flights and data retrieval, including surveillance of the Arctic area, the Danish nanosatellite specialist GomSpace launched two nanosatellites in February.
Twelve weeks later, GomSpace for the first time showed the possibility of live data capture from the two nanosatellites in space at a press conference held in Aalborg, Denmark. At the same time, the press conference marked the official transition to the so-called demonstration phase, following the mission’s test phase. The latter has thus been successfully completed, and the mission is now ready to carry out its scheduled tasks.
On February 2, 2018, GomSpace launched two nanosatellites mounted on the Chinese missile Long March 2D from a launch station in the Gobi Desert. The objective of the two nanosatellites, based on GomSpace’s 6U platform, is in part to monitor the Arctic area. It is an area where ice has melted significantly in recent years, meaning that the area sees more and more activity in the shape of aircraft and ships, researchers and tourists.
Army researchers have developed an artificial intelligence and machine learning technique that produces a visible face image from a thermal image of a person’s face captured in low-light or nighttime conditions. This development could lead to enhanced real-time biometrics and post-mission forensic analysis for covert nighttime operations.
Thermal cameras like FLIR, or Forward Looking Infrared, sensors are actively deployed on aerial and ground vehicles, in watch towers and at check points for surveillance purposes. More recently, thermal cameras are becoming available for use as body-worn cameras. The ability to perform automatic face recognition at nighttime using such thermal cameras is beneficial for informing a Soldier that an individual is someone of interest, like someone who may be on a watch list.
The motivations for this technology—developed by Drs. Benjamin S. Riggan, Nathaniel J. Short and Shuowen “Sean” Hu, from the U.S. Army Research Laboratory—are to enhance both automatic and human-matching capabilities.
Artificial intelligence is being used for a dizzying array of tasks, but one of the most successful is also one of the scariest: automated surveillance. Case in point is Chinese startup SenseTime, which makes AI-powered surveillance software for the country’s police, and which this week received a new round of funding worth $600 million. This funding, led by retailing giant Alibaba, reportedly gives SenseTime a total valuation of more than $4.5 billion, making it the most valuable AI startup in the world, according to analyst firm CB Insights.
This news is significant for a number of reasons. First, it shows how China continues to pour money into artificial intelligence, both through government funding and private investment. Many are watching the competition between China and America to develop cutting-edge AI with great interest, and see investment as an important measure of progress. China has overtaken the US in this regard, although experts are quick to caution that it’s only one metric of success.
Secondly, the investment shows that image analysis is one of the most lucrative commercial applications for AI. SenseTime became profitable in 2017 and claims it has more than 400 clients and partners. It sells its AI-powered services to improve the camera apps of smartphone-makers like OPPO and Vivo; to offer “beautification” effects and AR filters on Chinese social media platforms like Weibo; and to provide identity verification for domestic finance and retail apps like Huanbei and Rong360.
O n the outskirts of Beijing, a policeman peers over his glasses at a driver stopped at a motorway checkpoint. As he looks at the man’s face, a tiny camera in one of the lenses of his glasses records his features and checks them with a national database.
The artificial intelligence-powered glasses are what Chinese citizens refer to as “black tech”, because they spot delinquents on the country’s “blacklist”. Other examples include robots for crowd control, drones that hover over the country’s borders, and intelligent systems to track behaviour online. Some reports claim the government has installed scanners that can forcibly read information from smartphones.
In the last two weeks, Facebook has been mired in a privacy storm in the UK and US over potential misuse of personal data. But such an event might baffle many in China, where the country’s surveillance culture eclipses anything Facebook has done.
He talks of a species propelling itself toward “desirable goals” by cataloging, data mining, and analyzing the past behavior of peers and ancestors—and then using that data to improve the experience of each user’s future and perhaps even their future generations. But, is he referring to shared goals across cultures, sexes and incomes? Who controls the algorithms and the goal filters?! Is Google the judge, arbiter and God?
Don’t get me wrong. I may be in the minority, but I generally trust Google. I recognize that I am raw material and not a client. I accept the tradeoff that I make when I use Gmail, web search, navigate to a destination or share documents. I benefit from this bargain as Google matches my behavior with improved filtering of marketing directed at me.
