The term “privacy” has officially become a homonym. How do we move forward when language, even basic definitions, are often at odds or even completely contradictory?
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.
France will be the first in Europe to roll out a nationwide facial recognition ID program. Citizens will have a single digital identity tied to their face instead of using different user names and passwords.
Businesses face challenges in handling unstructured data and staying compliant with privacy regulations. With newer approaches, AI will be able to assist much better in data governance tasks.
Emerging privacy enhancing technologies (PETs), such as federated learning, are the key building blocks in changing our relationship with data. They can unlock new opportunities while protecting individual privacy, maintaining control of valuable data, and simplifying compliance in an increasingly fragmented regulatory landscape.
With companies no longer able to rely on Privacy Shield for protection, companies have two main options available to them: to localize data storage and/or to strengthen their SCCs.
The unique device identifier that Apple uses for personalized ad tracking, the IDFA, has been in the news lately. You may soon be hearing just as much about Google's equivalent for Android, the AAID.
Yoshihiro Satoh pointed out the difference between privacy and security and then explained about the specific measures for each and also the common measures between them.
It’s a fine line between “good policing” and a “police state” as San Francisco bans facial recognition technology city departments due to growing privacy concerns.
Apple developers that want to use certain APIs will have to submit an explanation of why they are necessary for program function, as part of a new effort to combat user fingerprinting.
Many of the most popular iPhone apps are, without user privacy consent, using “session replay” technology that makes it possible to record their every touch, tap or swipe.









