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Showing posts with the label facial recognition

Follow me, follow you. Follow what you have agreed to is a tad broken.

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source : https://www.nbcnews.com/tech/internet/facial-recognition-s-dirty-little-secret-millions-online-photos-scraped-n981921?cid=par-aff-nbc-knbc_20190312 “Facial recognition's 'dirty little secret': Millions of online photos scraped without consent.”  so is the headline on this # NBC story.   Classic headline for click bate.  IBM released 1 million pictures of faces, intended to help develop fairer face recognition algorithms. This is not a new issue and the bias features in a few very good TED talks so is very real.  However the story was that you  face was scraped directly from #Flickr.  Now the question is all about permission of the subjects rather than this is something we need data for to remove bias.  Data researchers scrape data from the internet (it is public) all the time to train algorithms. Photos are often a fantastic source of image data as the hashtags conveniently correspond to the content of the photos, making it extra easy to generate lab

Voice .... just more data or more secure?

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Voice: as the next big thing has been a cyclic mantra for at least 20 years – which is the time I have been in telecoms and high tech. Why voice? Voice recognition, voice ads, voice biometrics, unified messaging, ease, navigation (interface)… voice is content and that is often more valuable than the telecom operator/ NAS collected data of who made the call, to whom, when, how often, from where and for how long. Patterns and meta data.  Interception and recording of all calls is possible but you need to know who and what to look for. They can listen but not to everyone! In fact Voice and Face recognition appear to be in similar season fashion at the moment, with many of the same fears and mantras.  However it is the tech that lets us down, not our acceptance or vision of what is possible.  Voice and Face recognition are also different.  Voice is content and a continuous stream. Face is a one off, closer to finger print recognition for value, however voice and face allows y

Never mind Real Names, what about Real Faces via @dgwbirch

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The source of this is David Birch and the original article is here – please go there and read in full as it is thought provoking. This picks up on the complexity that I can only be me, in a world where facial recognition works and becomes prevalent. Ignoring body doubles and Identical Twins. In simple terms [all persona = me if real face recognition works] They question is about value for me and value for others….. I can only see value for others at it allows process and procedure to be followed. Not sure where my value is as of yet.

How much data do you need to identify someone?

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  The level of identification can move from the simple to the complex, but where is the proof that the more complex is needed for all services?

A structural model for Identity based on certification, recognition, reputation and anonymity.

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I have been thinking for a while about a model that describes the interdependencies between public, private, identity, reputation and privacy (laws).  This is mostly driven by the need to try and find an approach to define different types of “identity” based on characteristics that have some degree of stability and repeatability. The first “public” version of this model is represented in hand drawing below, and I would love feedback, input and criticism.   The vertical axis represents the perceptions of how people can be perceived by everyone else; this provides a range from a private citizen (general public) to a public figure (politician). The horizontal axis represents the how we conduct ourselves from being a private self (protected) to being public (15 seconds of fame) The quadrants are defined by the extremes of the axis definitions as follows: Obscurity - a private citizen who wants to remain private. An example at an extreme is a hermit, but this category tries to incorporate

I know who you are, even if you don't want to tell me

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Further comments to the post of facial recognition earlier today http://blog.mydigitalfootprint.com/facial-recognition-is-it-part-of-my-digital-f And other comments on the blog here http://blog.mydigitalfootprint.com/?sort=&search=facial So the short version is that you can take a picture of someone, use the image to search images on say Facebook, match the two images using some sort of facial recognition algorithm and therefore find out someone's name (given the match and the different database entries).  This would apply even for someone just walking down the street, or tracking them where they walked, find you where they live and any other data.... shock.  It simple terms it is allowing databases to be paired to create value or make it really creepy. Test cases prove it all works but they use data that was "selective" to make it quicker, but the reality is here and these services will be rolled out and you will be identified without being asked from your ID,

Facial recognition - is it part of my digital footprint or not?

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US : The Federal Trade Commission has announced that it is seeking public comments on the privacy and security implications raised by the use of facial recognition technology , specifically seeking public comments on the following: What are the current and future commercial uses of these technologies? Comment : let’s immediately limit this to what we can understand or gather what the fear could be. This is the right question to get the wrong answer.  A better question would be, “which problem will facial recognition solve on its own? How can consumers benefit from the use of these technologies? Comment : Consumers only benefit if the eco-system or society benefit. Consumers don’t often seen benefit until after the policy.  Why let the animals run the zoo! What are the privacy and security concerns surrounding the adoption of these technologies, and how do they vary depending on how the technologies are implemented? Comment : fear, uncertainty and doubt. What conc

Facial recognition and the office party

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  Facial recognition poses complex privacy issues that do not fit squarely with present laws as explored in the “Seeing is ID’ng,” a CDT report on facial recognition and privacy . The report describes the state of facial recognition technology and its commercial applications, the lack of laws that address facial recognition, and policy approaches to preserving consumer privacy. The key privacy interest that commercial facial recognition affects is, of course, identification of an individual through facial features alone. Without facial recognition technology, it is very difficult for a stranger to easily and quickly identify an individual on this basis. Individuals in public currently expect that most businesses and passersby cannot recognize their faces, fewer still can connect a name to their faces, and few – if any – can associate  their faces with internet behaviour, travel patterns, or other personal information. Facial recognition technology fundamentally changes this dynamic,

Facebooks facial recognition - what has it to do with sharing, connections and being open?

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Image from UnderLogic Facebook revamped its photo services by adding “Tag Suggestions”, a facial recognition feature which scans faces in your photos and offers up suggestions of who they are from your list of friends. Even though it is being tested with a small, undisclosed group of users, Tag Suggestions will roll out soon. One practical result is that is  that it is more likely that Facebook friends will tag you in photos and made it easier for friends to tag a large number of photos of you at once. Some find the notion of facial recognition “creepy” as it conjures ideals of Minority Report, terrorist watch lists and generally “big brother.” But don’t worry as the EU privacy regulators have said that they will investigate the Facebook facial recognition move and U.S. privacy watchdog group  EPIC  said it was considering an FTC complaint. To address user concerns, the social network will also introduce a privacy setting that allows you to opt out of Tag Suggestions – but I am sur

Anyone can have the idea but we are not allows best positioned to exploit it!

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Google shelved technology that would mesh mobile location with facial recognition because of fears it would be misused, Executive Chairman Eric Schmidt told attendees at the opening session at All Things Digital . May 2011.   An ‘evil dictator’ could use that against you, Schmidt said. “We built that technology and withheld it [because] people could use in a very bad way,” Schmidt said. But Google won’t keep the two technologies from meshing via apps on its Android or Chrome platforms. “Any platform app strategy has to allow for people to do that kind of stuff,”. Pressed by Walt Mossberg about allowing others to do what Google won’t, Schmidt commented: “ There are plenty of apps I don’t like that are still legal.”

Dilbert - using facial recognition to find your profile from socialsources

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Who should partner with whom for reality mining?

Reality mining is according to MIT is “the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening social network analysis to new methods of empirical stochastic modeling.” We know that every time you search (text, image, video), you give Google some value, you give even more value when you click on a result.  From each search and click Google ‘learns’ and increases it knowledge and value.  Google doesn’t need you name or address to do this, but with Picasa facial recognition, oddly enough they do know what you and your family look like. However android opens up the opportunity to gain all the mobile operator data as well. Mobile operators know who you are and where you live and from your call