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Using Docracy's unique document change analysis, we are now tracking terms of service and privacy policies for hundreds of the world's top sites. See below for summaries of recent changes, or to see the complete terms for any of the sites we track.

paper on use of ar to display patients data. [Stud Health Technol Inform. 2003] - PubMed - NCBI

Lightbeam is a Firefox add-on that uses interactive visualizations to show you the first and third party sites you interact with on the Web. As you browse, Lightbeam reveals the full depth of the Web today, including parts that are not transparent to the average user.

Conceptual drones

"Google agreed that a closed source module wasn't a good fit for an open source browser."

Of course there are a gazillion ways this kind of thing will go wrong. I'm more interested in the general phenomenon of smart devices identifying us automatically and without our knowledge.

Of course there are a gazillion ways this kind of thing will go wrong. I'm more interested in the general phenomenon of smart devices identifying us automatically and without our knowledge.

"Location sharing allows user whearabouts to be tracked around the clock."

OkCupid doesn't really know what it's doing. Neither does any other website. It's not like people have been building these things for very long, or you can go look up a blueprint or something. Most ideas are bad. Even good ideas could be better.

Our electronic devices are getting smarter - many can now "talk" to each other and connect to the web. What happens when silently recruited into a bot net?

"There are many articles circulating about all the privacy incursions of Facebooks new messenger app but I don't think they could all be true. "

People without Facebook accounts, logged out users, and EU users who have explicitly opted out of tracking are all being tracked, report says

"We've discussed the stupidity of privacy policies many times in the past. Honestly, it's an idea that serves no useful purpose, yet most sites are required to have one, and if you don't, people get all upset. But no one reads them, and most people incorrectly assume that if a site has any privacy policy, they must keep data private. "

Purchasers of the Philips Hue "smart" ambient lighting system are finding out that the new firmware pushed out by the manufacturer has cut off access to previously-supported lightbulbs.

"Secret messages for Alexa and Co. Researchers can hide secret commands for voice assistants in spoken sentences, birds' twittering, or music. They are not audible to the human ear. The machine recognises them precisely."

The blind application of machine learning runs the risk of amplifying biases present in data. Such a danger is facing us with word embedding, a popular framework to represent text data as vectors which has been used in many machine learning and natural language processing tasks. We show that even word embeddings trained on Google News articles exhibit female/male gender stereotypes to a disturbing extent. This raises concerns because their widespread use, as we describe, often tends to amplify these biases. Geometrically, gender bias is first shown to be captured by a direction in the word embedding. Second, gender neutral words are shown to be linearly separable from gender definition words in the word embedding. Using these properties, we provide a methodology for modifying an embedding to remove gender stereotypes, such as the association between between the words receptionist and female, while maintaining desired associations such as between the words queen and female. We define metrics to quantify both direct and indirect gender biases in embeddings, and develop algorithms to "debias" the embedding. Using crowd-worker evaluation as well as standard benchmarks, we empirically demonstrate that our algorithms significantly reduce gender bias in embeddings while preserving the its useful properties such as the ability to cluster related concepts and to solve analogy tasks. The resulting embeddings can be used in applications without amplifying gender bias.

"Is it the ultimate surveillance scenario or a step forward in the passenger experience? Or maybe a little bit of both?? Vendors are cooperating today to deliver integrated biometrics in the inflight entertainment system,"

"SoLiD is a proposed set of conventions for building decentralized social applications on the Linked Data stack. SoLiD is modular and extensible. It relies as much as possible on existing W3C standards. SoLiD applications are somewhat like multiuser applications where instances talk to each other through a shared filesystem, and the Web is that filesystem. "