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.
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.
A budding bipartisan movement toward establishing a federal data privacy bill began to take shape about two years ago appears to be moving forward, as legislation that was shelved in 2019 has been taken up again.
Apparent trend toward heavy government regulation of personal data collection has tech industry titans discussing support for a federal privacy law so that the industry-supported legislation contains terms that are as friendly to them as possible.
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.
Apple's privacy policy changes have already cost other big tech firms nearly $10 billion in lost ad revenue. Research firm Lotame reports that Snap, Facebook, Twitter, and YouTube have lost a combined $9.85 billion thus far in the third and fourth quarters.
Ride hailing giant Didi's exile into the wilderness appears to be ending, and the Chinese government's harsh wave of regulatory crackdowns has taken sharper focus, as the investigation has concluded and a fine of $1.2 billion has been announced.
European Court of Justice Planet 49 decision sets the record straight on consent for online cookies and trackers and raises some serious points for consideration by companies subject to GDPR and ePrivacy.
Facebook's opt-in facial recognition system will no longer be available in a matter of weeks, and the templates it relied on to function will be deleted. The decision comes as the social media giant rebrands as "Meta" and looks to keep ahead of regulations.
Data that is properly anonymised does not fall under the GDPR but anonymization brings about challenges for data analysis. What are the approaches viable for use in a commercial setting?
Technological advances in healthcare and medicine combined with AI is to create a brave new world that some have called the “Internet of Bodies.” What are the legal, privacy, security and ethical issues?










