More than just a facial recognition ban, the proposal calls for automated systems recognizing "gait, fingerprints, DNA, voice, keystrokes and other biometric or behavioral signals" to be kept out of all of the EU's publicly accessible spaces.
Data Privacy
Technological development has always outpaced privacy concerns, but never more so than in the past decade. Collection and centralization of personally identifiable information (PII), tracking of movements and digital surveillance are all at unprecedented levels. Regulations and laws are only just beginning to catch up to the ability of both governments and private entities to deploy these capabilities.
What exactly is there to worry about? The mass collection and centralization of data by giant multinationals such as Facebook and Google is as good of a place to start as any. Two decades of vacuuming up the personal data of users of various online services has created the most impressive marketing capabilities in history, but these profiles have astounding potential for damage when they are used the wrong way or fall into the wrong hands.
Unauthorized information that is captured in data breaches tends to find its way to massive “combo lists” that are sold and traded on the dark web. Social security numbers are added from this breach, home addresses and phone numbers from that one, personal health information from yet another. Soon, a frighteningly complete profile of millions of individuals is available to anyone willing to pay the asking price.
These are just the established data privacy issues. The emerging ones are even worse. High-quality facial recognition technology is just beginning to roll out across the public places of some countries. Artificial intelligence is not only making mass facial recognition possible, but magnifies the power and reach of any application that involves capturing and sorting information: scanning pictures, analyzing speech, sifting through text and location data. This threatens to not only shatter anonymity and privacy, but allow for highly advanced impersonation and take the concept of “identity theft” to new levels.
Some businesses chafe at the trouble and added expense of new and emerging data privacy regulations, but they are vital to both protecting rights and privacy and instilling confidence in end users. Customers want to be able to submit their payment information without worry about data breaches and identity theft, use services without wondering what is being done with their personal information and use devices without fear of surveillance or having location data tracked. The need for meaningful safeguards only grows greater as technological capabilities increase.
NHS trusts, which function as local health care facilities throughout England and Wales and provide over half of all National Health Service (NHS) services, have been passing sensitive patient information through Meta Pixel, according to an Observer investigative report.
Mozilla's study finds that iOS and Safari privacy is not enhanced for end users when Private Click Management is enabled, and a small number of users can still be tracked across sites if the advertiser desires.
Several of the California AI safety law's terms are even more stringent than comparable rules put into play in the European Union. But despite seemingly broad support there is still criticism of its expected negative impact on innovation, and from the privacy and security side some note that key regulations have yet to be placed on AI developers.
Mounting controversy over law enforcement agencies’ use of new facial recognition tool developed by Clearview AI, which allegedly scraped more than 3 billion photographs of people from Internet.
The UK has followed the US in enacting a TikTok ban that applies to government devices, citing national security concerns. The ban is part of a broader review of potential social media app threats.
Apple's IDFA usage terms will soon require app developers to obtain affirmative consent before tracking. Device fingerprinting appears to be the popular alternative in spite of the risk of being banned.
Breach of Clearview AI Source Code Renews Concerns About Law Enforcement Facial Recognition Programs
A breach at Clearview AI not only exposed its facial recognition source code but also confidential keys and credentials that would grant a disturbing level of access to the company's internal network.
It’s time to consciously Shift Left. Privacy teams must be involved with product development from the earliest stages. It’s the difference-maker between reacting to a privacy misstep after the fact and preventing the misstep in the first place.
U.S. doing an “adequate” job for Privacy Shield but could be doing more to protect the data transfer of EU users, including reform of the FISA regulations.







