Posts tagged metadata

Many facts about the SKYNET program remain unknown, however. For instance do analysts review each mobile phone user’s profile before condemning them to death based on metadata? How can the US government be sure it is not killing innocent people, given the apparent flaws in the machine learning algorithm on which that kill list is based?“On whether the use of SKYNET is a war crime, I defer to lawyers,” Ball said. “It’s bad science, that’s for damn sure, because classification is inherently probabilistic. If you’re going to condemn someone to death, usually we have a ‘beyond a reasonable doubt’ standard, which is not at all the case when you’re talking about people with 'probable terrorist’ scores anywhere near the threshold. And that’s assuming that the classifier works in the first place, which I doubt because there simply aren’t enough positive cases of known terrorists for the random forest to get a good model of them.”

http://arstechnica.co.uk/security/2016/02/the-nsas-skynet-program-may-be-killing-thousands-of-innocent-people/

Data is currency, and consumers are willing to hand over their information in exchange for “free or convenience,” Schneier said. Companies such as Facebook and Google want the data so that they can sell more stuff. Users hand it over to play games, to get email, or some other benefit. “I like to think of this as a feudal model. At a most fundamental model, we are tenant farming for companies like Google. We are on their land producing data,” he said. By handing the data over, users have an expectation of trust that Google, Facebook, and other data brokers will do the right thing with the personal data. However, this becomes a power play when governments get involved. Governments don’t need to collect the data themselves when corporations are already doing it. “The NSA woke up and said ‘Corporations are spying on the Internet, let’s get ourselves a copy,’” Schneier said. Most NSA surveillance “piggybacks” what the companies are already doing, he said.

http://www.securityweek.com/surveillance-business-model-internet-bruce-schneier

In the same way that the transition from film to digital is now taken for granted, the shift from cameras to networked devices with lenses should be obvious. While we’ve long obsessed over the size of the film and image sensors, today we mainly view photos on networked screens—often tiny ones, regardless of how the image was captured—and networked photography provides access to forms of data that go beyond pixels. This information, like location, weather, or even radiation levels, can transform an otherwise innocuous photo of an empty field near Fukushima into an entirely different object. If you begin considering emerging self-metrics that measure, for example, your routes through cities, fitness level, social status, and state of mind (think Foursquare, Nike+, Facebook, and Twitter), you realize that there is a compelling universe of information waiting to be pinned to the back of each image. Once you start thinking of a photograph in those holistic terms, the data quality of stand-alone cameras, no matter how vast their bounty of pixels, seems strangely impoverished. They no longer capture the whole picture.

http://www.newyorker.com/online/blogs/elements/2013/12/goodbye-cameras.html

The Descriptive Camera works a lot like a regular camera—point it at subject and press the shutter button to capture the scene. However, instead of producing an image, this prototype outputs a text description of the scene. Modern digital cameras capture gobs of parsable metadata about photos such as the camera’s settings, the location of the photo, the date, and time, but they don’t output any information about the content of the photo. The Descriptive Camera only outputs the metadata about the content.

http://mattrichardson.com/Descriptive-Camera/